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babych-etal-2007-translating
https://aclanthology.org/2007.mtsummit-papers.5.pdf
Translating from under-resourced languages: comparing direct transfer against pivot translation
In this paper we compare two methods for translating into English from languages for which few MT resources have been developed (e.g. Ukrainian). The first method involves direct transfer using an MT system that is available for this language pair. The second method involves translation via a cognate language, which ha...
false
[]
[]
null
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null
2007
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-2010-detecting
https://aclanthology.org/W10-0503.pdf
Detecting Word Misuse in Chinese
Social Network Service (SNS) and personal blogs have become the most popular platform for online communication and sharing information. However because most modern computer keyboards are Latin-based, Asian language speakers (such as Chinese) has to rely on a input system which accepts Romanisation of the characters and...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jiang-etal-2020-know
https://aclanthology.org/2020.tacl-1.28.pdf
How Can We Know What Language Models Know?
Recent work has presented intriguing results examining the knowledge contained in language models (LMs) by having the LM fill in the blanks of prompts such as ''Obama is a by profession''. These prompts are usually manually created, and quite possibly sub-optimal; another prompt such as ''Obama worked as a '' may resul...
false
[]
[]
null
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null
This work was supported by a gift from Bosch Research and NSF award no. 1815287. We would like to thank Paul Michel, Hiroaki Hayashi, Pengcheng Yin, and Shuyan Zhou for their insightful comments and suggestions.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
joshi-etal-2013-making
https://aclanthology.org/I13-2006.pdf
Making Headlines in Hindi: Automatic English to Hindi News Headline Translation
News headlines exhibit stylistic peculiarities. The goal of our translation engine 'Making Headlines in Hindi' is to achieve automatic translation of English news headlines to Hindi while retaining the Hindi news headline styles. There are two central modules of our engine: the modified translation unit based on Moses ...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
tolmachev-etal-2019-shrinking
https://aclanthology.org/N19-1281.pdf
Shrinking Japanese Morphological Analyzers With Neural Networks and Semi-supervised Learning
For languages without natural word boundaries, like Japanese and Chinese, word segmentation is a prerequisite for downstream analysis. For Japanese, segmentation is often done jointly with part of speech tagging, and this process is usually referred to as morphological analysis. Morphological analyzers are trained on d...
false
[]
[]
null
null
null
null
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
khayrallah-etal-2018-jhu
https://aclanthology.org/W18-6479.pdf
The JHU Parallel Corpus Filtering Systems for WMT 2018
This work describes our submission to the WMT18 Parallel Corpus Filtering shared task. We use a slightly modified version of the Zipporah Corpus Filtering toolkit (Xu and Koehn, 2017), which computes an adequacy score and a fluency score on a sentence pair, and use a weighted sum of the scores as the selection criteria...
false
[]
[]
null
null
null
This work was in part supported by the IARPA MATERIAL project and a Google Faculty Research Award.
2018
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ashihara-etal-2019-contextualized
https://aclanthology.org/D19-5552.pdf
Contextualized context2vec
Lexical substitution ranks substitution candidates from the viewpoint of paraphrasability for a target word in a given sentence. There are two major approaches for lexical substitution: (1) generating contextualized word embeddings by assigning multiple embeddings to one word and (2) generating context embeddings using...
false
[]
[]
null
null
null
We thank Professor Christopher G. Haswell for his valuable comments and discussions. We also thank the anonymous reviewers for their valuable comments. This research was supported by the KDDI Foundation.
2019
false
false
false
false
false
false
false
false
false
false
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false
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false
false
false
false
gonzalez-rubio-etal-2010-saturnalia
http://www.lrec-conf.org/proceedings/lrec2010/pdf/541_Paper.pdf
Saturnalia: A Latin-Catalan Parallel Corpus for Statistical MT
Currently, a great effort is being carried out in the digitalisation of large historical document collections for preservation purposes. The documents in these collections are usually written in ancient languages, such as Latin or Greek, which limits the access of the general public to their content due to the language...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
li-etal-2013-multi
https://aclanthology.org/W13-3101.pdf
Multi-document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian
This document overviews the strategy, effort and aftermath of the MultiLing 2013 multilingual summarization data collection. We describe how the Data Contributors of MultiLing collected and generated a multilingual multi-document summarization corpus on 10 different languages: Arabic, Chinese, Czech, English, French, G...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
liu-etal-2020-hiring
https://aclanthology.org/2020.acl-main.281.pdf
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation
Writing a good job posting is a critical step in the recruiting process, but the task is often more difficult than many people think. It is challenging to specify the level of education, experience, relevant skills per the company information and job description. To this end, we propose a novel task of Job Posting Gene...
true
[]
[]
Decent Work and Economic Growth
null
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null
2020
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
false
zeng-etal-2019-neural
https://aclanthology.org/D19-1470.pdf
Neural Conversation Recommendation with Online Interaction Modeling
The prevalent use of social media leads to a vast amount of online conversations being produced on a daily basis. It presents a concrete challenge for individuals to better discover and engage in social media discussions. In this paper, we present a novel framework to automatically recommend conversations to users base...
false
[]
[]
null
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null
This work is partially supported by the following HK grants: RGC-GRF (14232816, 14209416, 14204118, 3133237), NSFC (61877020) & ITF (ITS/335/18). Lu Wang is supported in part by National Science Foundation through Grants IIS-1566382 and IIS-1813341. We thank the three anonymous reviewers for the insightful suggestions ...
2019
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
false
hope-etal-2021-extracting
https://aclanthology.org/2021.naacl-main.355.pdf
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
The COVID-19 pandemic has spawned a diverse body of scientific literature that is challenging to navigate, stimulating interest in automated tools to help find useful knowledge. We pursue the construction of a knowledge base (KB) of mechanisms-a fundamental concept across the sciences, which encompasses activities, fun...
true
[]
[]
Good Health and Well-Being
Industry, Innovation and Infrastructure
null
We like to acknowledge a grant from ONR N00014-18-1-2826. Authors would also like to thank anonymous reviewers, members of AI2, UW-NLP and the H2Lab at The University of Washington for their valuable feedback and comments.
2021
false
false
true
false
false
false
false
false
true
false
false
false
false
false
false
false
false
paris-vander-linden-1996-building
https://aclanthology.org/C96-2124.pdf
Building Knowledge Bases for the Generation of Software Documentation
Automated text generation requires a underlying knowledge base fl'om which to generate, which is often difficult to produce. Software documentation is one domain in which parts of this knowledge base may be derived automatically. In this paper, we describe DRAFTER, an authoring support tool for generating usercentred s...
true
[]
[]
Industry, Innovation and Infrastructure
null
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null
1996
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
han-etal-2019-opennre
https://aclanthology.org/D19-3029.pdf
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction
OpenNRE is an open-source and extensible toolkit that provides a unified framework to implement neural models for relation extraction (RE). Specifically, by implementing typical RE methods, OpenNRE not only allows developers to train custom models to extract structured relational facts from the plain text but also supp...
false
[]
[]
null
null
null
This work is supported by the National Key Research and Development Program of China (No.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
albogamy-ramsay-2016-fast
https://aclanthology.org/L16-1238.pdf
Fast and Robust POS tagger for Arabic Tweets Using Agreement-based Bootstrapping
Part-of-Speech (POS) tagging is a key step in many NLP algorithms. However, tweets are difficult to POS tag because they are short, are not always written maintaining formal grammar and proper spelling, and abbreviations are often used to overcome their restricted lengths. Arabic tweets also show a further range of lin...
false
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[]
null
null
null
The authors would like to thank the anonymous reviewers for their encouraging feedback and insights. Fahad would also like to thank King Saud University for their financial support. Allan Ramsay's contribution to this work was partially supported by Qatar National Research Foundation (grant NPRP-7-1334-6 -039).
2016
false
false
false
false
false
false
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false
false
false
false
false
false
false
false
false
danescu-niculescu-mizil-etal-2009-without
https://aclanthology.org/N09-1016.pdf
Without a 'doubt'? Unsupervised Discovery of Downward-Entailing Operators
An important part of textual inference is making deductions involving monotonicity, that is, determining whether a given assertion entails restrictions or relaxations of that assertion. For instance, the statement 'We know the epidemic spread quickly' does not entail 'We know the epidemic spread quickly via fleas', but...
false
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[]
null
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null
Acknowledgments We thank Roy Bar-Haim, Cleo Condoravdi, and Bill MacCartney for sharing their systems' lists and information about their work with us; Mats Rooth for helpful conversations; Alex Niculescu-Mizil for technical assistance; and Eugene Charniak for reassuring remarks. We also thank Marisa Ferrara Boston, Cla...
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
acl-1993-association
https://aclanthology.org/P93-1000.pdf
31st Annual Meeting of the Association for Computational Linguistics
This volume contains the papers prepared for the 31 st Annual Meeting of the Association for Computational Linguistics, held 22-26 June 1993 at The Ohio State University in Columbus, Ohio. The cluster of papers in the final section stems from the student session, featured at the meeting for the 3rd successive year and ...
false
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[]
null
null
null
We thank the reviewers for providing providing helpful, detailed reviews of the submissions, and for completing the reviews promptly. The careful thought that went into their review comments was obvious and impressive, and we are sure the student authors found the reviews beneficial. The Program Committee included the ...
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hakala-etal-2013-evex
https://aclanthology.org/W13-2004.pdf
EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction
During the past few years, several novel text mining algorithms have been developed in the context of the BioNLP Shared Tasks on Event Extraction. These algorithms typically aim at extracting biomolecular interactions from text by inspecting only the context of one sentence. However, when humans interpret biomolecular ...
false
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[]
null
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null
Computational resources were provided by CSC IT Center for Science Ltd., Espoo, Finland. The work of KH and FG was supported by the Academy of Finland, and of SVL by the Research Foundation Flanders (FWO). YVdP and SVL acknowledge the support from Ghent University (Multidisciplinary Research Partnership Bioinformatics:...
2013
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
false
banerjee-etal-2021-scrambled
https://aclanthology.org/2021.mtsummit-research.11.pdf
Scrambled Translation Problem: A Problem of Denoising UNMT
In this paper, we identify an interesting kind of error in the output of Unsupervised Neural Machine Translation (UNMT) systems like Undreamt 1. We refer to this error type as Scrambled Translation problem. We observe that UNMT models which use word shuffle noise (as in case of Undreamt) can generate correct words, but...
false
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[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jurgens-etal-2014-twitter
https://aclanthology.org/W14-3906.pdf
Twitter Users \#CodeSwitch Hashtags! \#MoltoImportante \#wow
When code switching, individuals incorporate elements of multiple languages into the same utterance. While code switching has been studied extensively in formal and spoken contexts, its behavior and prevalence remains unexamined in many newer forms of electronic communication. The present study examines code switching ...
false
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[]
null
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null
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ilinykh-dobnik-2022-attention
https://aclanthology.org/2022.findings-acl.320.pdf
Attention as Grounding: Exploring Textual and Cross-Modal Attention on Entities and Relations in Language-and-Vision Transformer
We explore how a multi-modal transformer trained for generation of longer image descriptions learns syntactic and semantic representations about entities and relations grounded in objects at the level of masked self-attention (text generation) and crossmodal attention (information fusion). We observe that cross-attenti...
false
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[]
null
null
null
The research reported in this paper was supported by a grant from the Swedish Research Council (VR project 2014-39) for the establishment of the Centre for Linguistic Theory and Studies in Probability (CLASP) at the University of Gothenburg.
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
hovy-2010-distributional
https://aclanthology.org/W10-3401.pdf
Distributional Semantics and the Lexicon
The lexicons used in computational linguistics systems contain morphological, syntactic, and occasionally also some semantic information (such as definitions, pointers to an ontology, verb frame filler preferences, etc.). But the human cognitive lexicon contains a great deal more, crucially, expectations about how a wo...
false
[]
[]
null
null
null
null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
osenova-etal-2010-exploring
http://www.lrec-conf.org/proceedings/lrec2010/pdf/721_Paper.pdf
Exploring Co-Reference Chains for Concept Annotation of Domain Texts
The paper explores the co-reference chains as a way for improving the density of concept annotation over domain texts. The idea extends authors' previous work on relating the ontology to the text terms in two domains-IT and textile. Here IT domain is used. The challenge is to enhance relations among concepts instead of...
false
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[]
null
null
null
The work reported here is done within the context of the EU project -Language Technology for Lifelong Learning (LTfLL). We would also like to thank the three anonymous reviewers for their valuable remarks as specialists and readers.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
nallapati-etal-2016-abstractive
https://aclanthology.org/K16-1028.pdf
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
In this work, we model abstractive text summarization using Attentional Encoder-Decoder Recurrent Neural Networks, and show that they achieve state-of-the-art performance on two different corpora. We propose several novel models that address critical problems in summarization that are not adequately modeled by the basi...
false
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[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
reinhard-gibbon-1991-prosodic
https://aclanthology.org/E91-1023.pdf
Prosodic Inheritance and Morphological Generalisations
Prosodic Inheritance (PI) morphology provides uniform treatment of both concatenative and non-concatenative morphological and phonological generalisations using default inheritance. Models of an extensive range of German Umlaut and Arabic intercalation facts, implemented in DATR, show that the PI approach also covers '...
false
[]
[]
null
null
null
null
1991
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
walker-etal-2012-annotated
http://www.lrec-conf.org/proceedings/lrec2012/pdf/1114_Paper.pdf
An Annotated Corpus of Film Dialogue for Learning and Characterizing Character Style
Interactive story systems often involve dialogue with virtual dramatic characters. However, to date most character dialogue is written by hand. One way to ease the authoring process is to (semi-)automatically generate dialogue based on film characters. We extract features from dialogue of film characters in leading rol...
false
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[]
null
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null
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhai-huang-2015-pilot
https://aclanthology.org/2015.mtsummit-papers.5.pdf
A pilot study towards end-to-end MT training
Typical MT training involves several stages, including word alignment, rule extraction, translation model estimation, and parameter tuning. In this paper, different from the traditional pipeline, we investigate the possibility of end-to-end MT training, and propose a framework which combines rule induction and paramete...
false
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[]
null
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null
We thank the three anonymous reviewers for the valuable comments, and Kai Zhao for discussions. This project was supported in part by DARPA FA8750-13-2-0041 (DEFT), NSF IIS-1449278, and a Google Faculty Research Award.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kucuk-etal-2014-named
http://www.lrec-conf.org/proceedings/lrec2014/pdf/380_Paper.pdf
Named Entity Recognition on Turkish Tweets
Various recent studies show that the performance of named entity recognition (NER) systems developed for well-formed text types drops significantly when applied to tweets. The only existing study for the highly inflected agglutinative language Turkish reports a drop in F-Measure from 91% to 19% when ported from news ar...
false
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[]
null
null
null
This study is supported in part by a postdoctoral research grant from TÜBİTAK.
2014
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gilbert-riloff-2013-domain
https://aclanthology.org/P13-2015.pdf
Domain-Specific Coreference Resolution with Lexicalized Features
Most coreference resolvers rely heavily on string matching, syntactic properties, and semantic attributes of words, but they lack the ability to make decisions based on individual words. In this paper, we explore the benefits of lexicalized features in the setting of domain-specific coreference resolution. We show that...
false
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[]
null
null
null
This material is based upon work supported by the National Science Foundation under Grant No. IIS-1018314 and the Defense Advanced Research Projects Agency (DARPA) Machine Reading Program under Air Force Research Laboratory (AFRL) prime contract no. FA8750-09-C-0172. Any opinions, findings, and conclusion or recommenda...
2013
false
false
false
false
false
false
false
false
false
false
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false
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false
false
false
alvez-etal-2018-cross
https://aclanthology.org/L18-1723.pdf
Cross-checking WordNet and SUMO Using Meronymy
We report on the practical application of a black-box testing methodology for the validation of the knowledge encoded in WordNet, SUMO and their mapping by using automated theorem provers. Our proposal is based on the part-whole information provided by WordNet, out of which we automatically create a large set of tests....
false
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null
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null
This work has been partially funded by the Spanish Projects TUNER (TIN2015-65308-C5-1-R) and GRAMM (TIN2017-86727-C2-2-R), the Basque Project LoRea (GIU15/30) and the UPV/EHU project OEBU (EHUA16/33).
2018
false
false
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false
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false
paul-etal-2009-mining
https://aclanthology.org/W09-1111.pdf
Mining the Web for Reciprocal Relationships
In this paper we address the problem of identifying reciprocal relationships in English. In particular we introduce an algorithm that semi-automatically discovers patterns encoding reciprocity based on a set of simple but effective pronoun templates. Using a set of most frequently occurring patterns, we extract pairs o...
true
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[]
Partnership for the goals
null
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null
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
hatzivassiloglou-mckeown-1995-quantitative
https://aclanthology.org/P95-1027.pdf
A Quantitative Evaluation of Linguistic Tests for the Automatic Prediction of Semantic Markedness
We present a corpus-based study of methods that have been proposed in the linguistics literature for selecting the semantically unmarked term out of a pair of antonymous adjectives. Solutions to this problem are applicable to the more general task of selecting the positive term from the pair. Using automatically collec...
false
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[]
null
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null
This work was supported jointly by the Advanced Research Projects Agency and the Office of Naval Research under contract N00014-89-J-1782, and by the National Science Foundation under contract GER-90-24069. It was conducted under the auspices of the Columbia University CAT in High Performance Computing and Communicatio...
1995
false
false
false
false
false
false
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false
false
bangalore-etal-2006-finite
https://aclanthology.org/2006.iwslt-evaluation.2.pdf
Finite-state transducer-based statistical machine translation using joint probabilities
In this paper, we present our system for statistical machine translation that is based on weighted finite-state transducers. We describe the construction of the transducer, the estimation of the weights, acquisition of phrases (locally ordered tokens) and the mechanism we use for global reordering. We also present a no...
false
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null
2006
false
false
false
false
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false
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false
false
rohith-ramakrishnan-etal-2021-analysis
https://aclanthology.org/2021.paclic-1.75.pdf
Analysis of Text-Semantics via Efficient Word Embedding using Variational Mode Decomposition
In this paper, we propose a novel method which establishes a newborn relation between Signal Processing and Natural Language Processing (NLP) method via Variational Mode Decomposition (VMD). Unlike the modern Neural Network approaches for NLP which are complex and often masked from the end user, our approach involving ...
false
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[]
null
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null
2021
false
false
false
false
false
false
false
false
false
false
false
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false
false
di-eugenio-glass-2004-squibs
https://aclanthology.org/J04-1005.pdf
Squibs and Discussions: The Kappa Statistic: A Second Look
In recent years, the kappa coefficient of agreement has become the de facto standard for evaluating intercoder agreement for tagging tasks. In this squib, we highlight issues that affect κ and that the community has largely neglected. First, we discuss the assumptions underlying different computations of the expected a...
false
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[]
null
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null
This work is supported by grant N00014-00-1-0640 from the Office of Naval Research. Thanks to Janet Cahn and to the anonymous reviewers for comments on earlier drafts.
2004
false
false
false
false
false
false
false
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false
false
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false
false
false
le-roux-etal-2013-combining
https://aclanthology.org/D13-1116.pdf
Combining PCFG-LA Models with Dual Decomposition: A Case Study with Function Labels and Binarization
It has recently been shown that different NLP models can be effectively combined using dual decomposition. In this paper we demonstrate that PCFG-LA parsing models are suitable for combination in this way. We experiment with the different models which result from alternative methods of extracting a grammar from a treeb...
false
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[]
null
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null
We are grateful to the reviewers for their helpful comments. We also thank Joachim Wagner for providing feedback on an early version of the paper. This work has been partially funded by the Labex EFL (ANR/CGI). 9 Their other system relying on the self-trained version of the BLLIP parser achieves 92.6 F1. ACL-08: HLT, p...
2013
false
false
false
false
false
false
false
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false
false
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false
false
false
marie-fujita-2019-unsupervised-joint
https://aclanthology.org/P19-1312.pdf
Unsupervised Joint Training of Bilingual Word Embeddings
State-of-the-art methods for unsupervised bilingual word embeddings (BWE) train a mapping function that maps pre-trained monolingual word embeddings into a bilingual space. Despite its remarkable results, unsupervised mapping is also well-known to be limited by the dissimilarity between the original word embedding spac...
false
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[]
null
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null
We would like to thank the reviewers for their useful comments and suggestions. A part of this work was conducted under the program "Promotion of Global Communications Plan: Research, Development, and Social Demonstration of Multilingual Speech Translation Technology" of the Ministry of Internal Affairs and Communicati...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kuo-etal-2012-exploiting
https://aclanthology.org/P12-2067.pdf
Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks
This paper brings a marriage of two seemly unrelated topics, natural language processing (NLP) and social network analysis (SNA). We propose a new task in SNA which is to predict the diffusion of a new topic, and design a learning-based framework to solve this problem. We exploit the latent semantic information among u...
true
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[]
Peace, Justice and Strong Institutions
null
null
This work was also supported by National Science Council, National Taiwan University and Intel Corporation under Grants NSC 100-2911-I-002-001, and 101R7501.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
true
false
druck-etal-2009-active
https://aclanthology.org/D09-1009.pdf
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper, we propose an active learning approach in which the machine solicits "labels" on features rather than instances. In both simulated and real ...
false
[]
[]
null
null
null
We thank Kedar Bellare for helpful discussions and Gau-
2009
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
wang-etal-2021-enpar
https://aclanthology.org/2021.eacl-main.251.pdf
ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction
Current state-of-the-art systems for joint entity relation extraction (Luan et al., 2019; Wadden et al., 2019) usually adopt the multi-task learning framework. However, annotations for these additional tasks such as coreference resolution and event extraction are always equally hard (or even harder) to obtain. In this ...
false
[]
[]
null
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null
The authors wish to thank the reviewers for their helpful comments and suggestions. This research is (partially) supported by NSFC (62076097
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ling-etal-2015-contexts
https://aclanthology.org/D15-1161.pdf
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention
We introduce an extension to the bag-ofwords model for learning words representations that take into account both syntactic and semantic properties within language. This is done by employing an attention model that finds within the contextual words, the words that are relevant for each prediction. The general intuition...
false
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[]
null
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null
The PhD thesis of Wang Ling is supported by FCT grant SFRH/BD/51157/2010. This research was supported in part by the U.S. Army Research Laboratory, the U.S. Army Research Office under contract/grant number W911NF-10-1-0533 and NSF IIS-1054319 and FCT through the plurianual contract UID/CEC/50021/2013 and grant number S...
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
xu-etal-2002-study
https://aclanthology.org/P02-1025.pdf
A Study on Richer Syntactic Dependencies for Structured Language Modeling
We study the impact of richer syntactic dependencies on the performance of the structured language model (SLM) along three dimensions: parsing accuracy (LP/LR), perplexity (PPL) and worderror-rate (WER, N-best re-scoring). We show that our models achieve an improvement in LP/LR, PPL and/or WER over the reported baselin...
false
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[]
null
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null
2002
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
barron-cedeno-etal-2016-convkn
https://aclanthology.org/S16-1138.pdf
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora
We describe our system, ConvKN, participating to the SemEval-2016 Task 3 "Community Question Answering". The task targeted the reranking of questions and comments in real-life web fora both in English and Arabic. ConvKN combines convolutional tree kernels with convolutional neural networks and additional manually desig...
false
[]
[]
null
null
null
This research is developed by the Arabic Language Technologies (ALT) group at the Qatar Computing Research Institute (QCRI), HBKU, Qatar Foundation in collaboration with MIT. It is part of the Interactive sYstems for Answer Search (IYAS) project. This work has been partially supported by the EC project CogNet, 671625 (...
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
schwenk-2012-continuous
https://aclanthology.org/C12-2104.pdf
Continuous Space Translation Models for Phrase-Based Statistical Machine Translation
This paper presents a new approach to perform the estimation of the translation model probabilities of a phrase-based statistical machine translation system. We use neural networks to directly learn the translation probability of phrase pairs using continuous representations. The system can be easily trained on the sam...
false
[]
[]
null
null
null
This work was partially financed by the French government (COSMAT, ANR-09-CORD-004), the European Commission (MATECAT, ICT-2011.4.2 -287688) and the DARPA BOLT project.
2012
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
plank-etal-2016-multilingual
https://aclanthology.org/P16-2067.pdf
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Bidirectional long short-term memory (bi-LSTM) networks have recently proven successful for various NLP sequence modeling tasks, but little is known about their reliance to input representations, target languages, data set size, and label noise. We address these issues and evaluate bi-LSTMs with word, character, and un...
false
[]
[]
null
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null
We thank the anonymous reviewers for their feedback. AS is funded by the ERC Starting Grant LOWLANDS No. 313695. YG is supported by The Israeli Science Foundation (grant number 1555/15) and a Google Research Award.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jiang-etal-2021-lnn
https://aclanthology.org/2021.acl-long.64.pdf
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking
Entity linking (EL), the task of disambiguating mentions in text by linking them to entities in a knowledge graph, is crucial for text understanding, question answering or conversational systems. Entity linking on short text (e.g., single sentence or question) poses particular challenges due to limited context. While p...
false
[]
[]
null
null
null
We thank Ibrahim Abdelaziz, Pavan Kapanipathi, Srinivas Ravishankar, Berthold Reinwald, Salim Roukos and anonymous reviewers for their valuable inputs and feedback.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jimenez-lopez-becerra-bonache-2016-machine
https://aclanthology.org/W16-4101.pdf
Could Machine Learning Shed Light on Natural Language Complexity?
In this paper, we propose to use a subfield of machine learning-grammatical inference-to measure linguistic complexity from a developmental point of view. We focus on relative complexity by considering a child learner in the process of first language acquisition. The relevance of grammatical inference models for measur...
false
[]
[]
null
null
null
This research has been supported by the Ministerio de Economía y Competitividad under the project number FFI2015-69978-P (MINECO/FEDER) of the Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia, Subprograma Estatal de Generación de Conocimiento.
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
song-etal-2010-active
https://aclanthology.org/W10-4121.pdf
Active Learning Based Corpus Annotation
Opinion Mining aims to automatically acquire useful opinioned information and knowledge in subjective texts. Research of Chinese Opinioned Mining requires the support of annotated corpus for Chinese opinioned-subjective texts. To facilitate the work of corpus annotators, this paper implements an active learning based a...
false
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[]
null
null
null
The author of this paper would like to thank Information Retrieval Lab, Harbin Institute of Technology for providing the tool (LTP) used in experiments. This research was supported by National Natural Science Foundation of China Grant No.60773087.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
rello-basterrechea-2010-automatic
https://aclanthology.org/W10-0301.pdf
Automatic conjugation and identification of regular and irregular verb neologisms in Spanish
In this paper, a novel system for the automatic identification and conjugation of Spanish verb neologisms is presented. The paper describes a rule-based algorithm consisting of six steps which are taken to determine whether a new verb is regular or not, and to establish the rules that the verb should follow in its conj...
false
[]
[]
null
null
null
We would like to express or gratitude to the Molino de Ideas s.a. engineering team who have successfully implemented the method, specially to Daniel Ayuso de Santos and Alejandro de Pablos López.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
saint-dizier-2016-argument
https://aclanthology.org/L16-1156.pdf
Argument Mining: the Bottleneck of Knowledge and Language Resources
Given a controversial issue, argument mining from natural language texts (news papers, and any form of text on the Internet) is extremely challenging: domain knowledge is often required together with appropriate forms of inferences to identify arguments. This contribution explores the types of knowledge that are requir...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pasca-2015-interpreting
https://aclanthology.org/N15-1037.pdf
Interpreting Compound Noun Phrases Using Web Search Queries
A weakly-supervised method is applied to anonymized queries to extract lexical interpretations of compound noun phrases (e.g., "fortune 500 companies"). The interpretations explain the subsuming role ("listed in") that modifiers (fortune 500) play relative to heads (companies) within the noun phrases. Experimental resu...
false
[]
[]
null
null
null
The paper benefits from comments from Jutta Degener, Mihai Surdeanu and Susanne Riehemann. Data extracted by Haixun Wang and Jian Li is the source of the IsA vocabulary of noun phrases used in the evaluation.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
haffari-etal-2011-ensemble
https://aclanthology.org/P11-2125.pdf
An Ensemble Model that Combines Syntactic and Semantic Clustering for Discriminative Dependency Parsing
We combine multiple word representations based on semantic clusters extracted from the (Brown et al., 1992) algorithm and syntactic clusters obtained from the Berkeley parser (Petrov et al., 2006) in order to improve discriminative dependency parsing in the MST-Parser framework (McDonald et al., 2005). We also provide ...
false
[]
[]
null
null
null
This research was partially supported by NSERC, Canada (RGPIN: 264905). We would like to thank Terry Koo for his help with the cluster-based features for dependency parsing and Ryan McDonald for the MSTParser source code which we modified and used for the experiments in this paper.
2011
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chung-2005-market
https://aclanthology.org/Y05-1007.pdf
MARKET Metaphors: Chinese, English and Malay
In this paper, MARKET metaphors used by different communities (Chinese, Malay and English) are laid out based on the frequency counts of these metaphors and their occurrences in different syntactic positions. The results show that certain types of metaphors have preferences for different syntactic positions for 'market...
false
[]
[]
null
null
null
null
2005
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gliwa-etal-2019-samsum
https://aclanthology.org/D19-5409.pdf
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
This paper introduces the SAMSum Corpus, a new dataset with abstractive dialogue summaries. We investigate the challenges it poses for automated summarization by testing several models and comparing their results with those obtained on a corpus of news articles. We show that model-generated summaries of dialogues achie...
false
[]
[]
null
null
null
We would like to express our sincere thanks to Tunia Błachno, Oliwia Ebebenge, Monika Jędras and Małgorzata Krawentek for their huge contribution to the corpus collection -without their ideas, management of the linguistic task and verification of examples we would not be able to create this paper. We are also grateful ...
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
klafka-ettinger-2020-spying
https://aclanthology.org/2020.acl-main.434.pdf
Spying on Your Neighbors: Fine-grained Probing of Contextual Embeddings for Information about Surrounding Words
Although models using contextual word embeddings have achieved state-of-the-art results on a host of NLP tasks, little is known about exactly what information these embeddings encode about the context words that they are understood to reflect. To address this question, we introduce a suite of probing tasks that enable ...
false
[]
[]
null
null
null
We would like to thank Itamar Francez and Sam Wiseman for helpful discussion, and anonymous reviewers for their valuable feedback. This material is based upon work supported by the National Science Foundation under Award No. 1941160.
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
huang-etal-2022-distilling
https://aclanthology.org/2022.fever-1.3.pdf
Distilling Salient Reviews with Zero Labels
Many people read online reviews to learn about real-world entities of their interest. However, majority of reviews only describes general experiences and opinions of the customers, and may not reveal facts that are specific to the entity being reviewed. In this work, we focus on a novel task of mining from a review cor...
false
[]
[]
null
null
null
null
2022
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
lowe-etal-1994-language
https://aclanthology.org/H94-1087.pdf
Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition
The goal of this study is to evaluate the potential for using large vocabulary continuous speech recognition as an engine for automatically classifying utterances according to the language being spoken. The problem of language identification is often thought of as being separate from the problem of speech recognition. ...
false
[]
[]
null
null
null
null
1994
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
carroll-etal-2000-engineering
https://aclanthology.org/W00-2007.pdf
Engineering a Wide-Coverage Lexicalized Grammar
We discuss a number of practical issues that have arisen in the development of a wide-coverage lexicalized grammar for English. In particular, we consider the way in which the design of the •~rammar and of its encoding was infiuenced by issues relating to the size of the grammar.
false
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[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
penkale-2013-tailor
https://aclanthology.org/2013.tc-1.13.pdf
Tailor-made quality-controlled translation
Traditional 'one-size-fits-all' models are failing to meet businesses' requirements. To support the growing demand for cost-effective translation, fine-grained control of quality is required, enabling fit-for-purpose content to be delivered at predictable quality and cost levels. This paper argues for customisable leve...
false
[]
[]
null
null
null
null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
patrick-li-2009-cascade
https://aclanthology.org/U09-1014.pdf
A Cascade Approach to Extracting Medication Events
Information Extraction, from the electronic clinical record is a comparatively new topic for computational linguists. In order to utilize the records to improve the efficiency and quality of health care, the knowledge content should be automatically encoded; however this poses a number of challenges for Natural Languag...
true
[]
[]
Good Health and Well-Being
null
null
We would like to acknowledge the contribution of Stephen Crawshaw, Yefeng Wang and other members in the Health Information Technologies Research Laboratory.Deidentified clinical records used in this research were provided by the i2b2 National Center for Biomedical Computing funded by U54LM008748 and were originally pre...
2009
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
false
brook-weiss-etal-2021-qa
https://aclanthology.org/2021.emnlp-main.778.pdf
QA-Align: Representing Cross-Text Content Overlap by Aligning Question-Answer Propositions
Multi-text applications, such as multidocument summarization, are typically required to model redundancies across related texts. Current methods confronting consolidation struggle to fuse overlapping information. In order to explicitly represent content overlap, we propose to align predicate-argument relations across t...
false
[]
[]
null
null
null
We would like to thank the anonymous reviewers for their thorough and insightful comments. The work described herein was supported in part by grants from Intel Labs, Facebook, and the Israel Science Foundation grant 1951/17.
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
jappinen-etal-1988-locally
https://aclanthology.org/C88-1056.pdf
Locally Governed Trees and Dependecncy Parsing
~ paper desc[J.~s the notion of ]pcall.y gove~:ned t~:ees as a n<x]el of sttuCtu17ally [estrfcted dependency st~:uctures of sentenc.eSo 2~n abstract umchine and its supporting softwa~:e to*. the building of local ly goqerned t~:ees is intr_(~iuced. The rest of the paper dis~:usse,q [.ew uuaM]iguous~ ~<-'].]-for,~d loca...
false
[]
[]
null
null
null
null
1988
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhang-etal-2016-jate
https://aclanthology.org/L16-1359.pdf
JATE 2.0: Java Automatic Term Extraction with Apache Solr
Automatic Term Extraction (ATE) or Recognition (ATR) is a fundamental processing step preceding many complex knowledge engineering tasks. However, few methods have been implemented as public tools and in particular, available as open-source freeware. Further, little effort is made to develop an adaptable and scalable f...
false
[]
[]
null
null
null
null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
salaberri-etal-2015-brol
https://aclanthology.org/R15-1072.pdf
bRol: The Parser of Syntactic and Semantic Dependencies for Basque
This paper presents bRol, the first fully automatic system to be developed for the parsing of syntactic and semantic dependencies in Basque. The parser has been built according to the settings established for the CoNLL-2009 Shared Task (Hajič et al., 2009), therefore, bRol can be thought of as a standard parser with sc...
false
[]
[]
null
null
null
Haritz Salaberri holds a PhD grant from the University of the Basque Country. In addition, this work has been supported by the EXTRECM project (Grant No. TIN2013-46616-C2-1-R) and IXA Group, research group of type A (2010-2015)(IT34410).
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
darwish-etal-2017-arabic
https://aclanthology.org/W17-1302.pdf
Arabic Diacritization: Stats, Rules, and Hacks
In this paper, we present a new and fast state-of-the-art Arabic diacritizer that guesses the diacritics of words and then their case endings. We employ a Viterbi decoder at word-level with back-off to stem, morphological patterns, and transliteration and sequence labeling based diacritization of named entities. For ca...
false
[]
[]
null
null
null
null
2017
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hovy-2015-demographic
https://aclanthology.org/P15-1073.pdf
Demographic Factors Improve Classification Performance
Extra-linguistic factors influence language use, and are accounted for by speakers and listeners. Most natural language processing (NLP) tasks to date, however, treat language as uniform. This assumption can harm performance. We investigate the effect of including demographic information on performance in a variety of ...
false
[]
[]
null
null
null
Thanks toŽeljko Agić, David Bamman, Jacob Eisenstein, Stephan Gouws, Anders Johannsen, Barbara Plank, Anders Søgaard, and Svitlana Volkova for their invaluable feedback, as well as to the anonymous reviewers, whose comments helped improve the paper. The author was supported under ERC Starting Grant LOWLANDS No. 313695.
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
acl-1987-association
https://aclanthology.org/P87-1000.pdf
25th Annual Meeting of the Association for Computational Linguistics
The Twenty-Fifth Annual Meeting of the Association for Computational Linguistics offers the membership a chance to acknowledge and benefit from the wide range of developments in computational linguistics in the past several years. The papers in the program reflect the growing interaction between computational linguists...
false
[]
[]
null
null
null
null
1987
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
klein-nabi-2021-attention-based
https://aclanthology.org/2021.findings-emnlp.208.pdf
Attention-based Contrastive Learning for Winograd Schemas
Self-supervised learning has recently attracted considerable attention in the NLP community for its ability to learn discriminative features using a contrastive objective (Qu et al., 2020; Klein and Nabi, 2020). This paper investigates whether contrastive learning can be extended to Transfomer attention to tackling the...
false
[]
[]
null
null
null
null
2021
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
pardo-etal-2010-computational
https://aclanthology.org/W10-1601.pdf
Computational Linguistics in Brazil: An Overview
In this paper we give an overview of Computational Linguistics / Natural Language Processing in Brazil, describing the general research scenario, the main research groups, existing events and journals, and the perceived challenges, among other relevant information. We also identify opportunities for collaboration.
false
[]
[]
null
null
null
The authors are grateful to SBC, CEPLN, FAPESP, and CAPES for supporting this work and the realization of STIL 2009, where part of the data shown in this paper was presented.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
zhou-huang-2019-towards
https://aclanthology.org/W19-8661.pdf
Towards Generating Math Word Problems from Equations and Topics
A math word problem is a narrative with a specific topic that provides clues to the correct equation with numerical quantities and variables therein. In this paper, we focus on the task of generating math word problems. Previous works are mainly templatebased with pre-defined rules. We propose a novel neural network mo...
true
[]
[]
Quality Education
null
null
We would like to thank the annotators for their efforts in the evaluation process. Thanks to the anonymous reviewers for their helpful comments and suggestions.
2019
false
false
false
true
false
false
false
false
false
false
false
false
false
false
false
false
false
green-2018-proposed
https://aclanthology.org/W18-5213.pdf
Proposed Method for Annotation of Scientific Arguments in Terms of Semantic Relations and Argument Schemes
This paper presents a proposed method for annotation of scientific arguments in biological/biomedical journal articles. Semantic entities and relations are used to represent the propositional content of arguments in instances of argument schemes. We describe an experiment in which we encoded the arguments in a journal ...
true
[]
[]
Industry, Innovation and Infrastructure
null
null
The analysis of the CRAFT article was done with the help of Michael Branon and Bishwa Giri, who were supported by a UNCG 2016 Summer Faculty Excellence Research Grant.
2018
false
false
false
false
false
false
false
false
true
false
false
false
false
false
false
false
false
sui-etal-2000-information
https://aclanthology.org/P00-1060.pdf
An Information-Theory-Based Feature Type Analysis for the Modeling of Statistical Parsing
The paper proposes an information-theorybased method for feature types analysis in probabilistic evaluation modelling for statistical parsing. The basic idea is that we use entropy and conditional entropy to measure whether a feature type grasps some of the information for syntactic structure prediction. Our experiment...
false
[]
[]
null
null
null
null
2000
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
takeshita-etal-2020-existing
https://aclanthology.org/2020.gebnlp-1.5.pdf
Can Existing Methods Debias Languages Other than English? First Attempt to Analyze and Mitigate Japanese Word Embeddings
It is known that word embeddings exhibit biases inherited from the corpus, and those biases reflect social stereotypes. Recently, many studies have been conducted to analyze and mitigate biases in word embeddings. Unsupervised Bias Enumeration (UBE) (Swinger et al., 2019) is one of approach to analyze biases for Englis...
false
[]
[]
null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
golding-schabes-1996-combining
https://aclanthology.org/P96-1010.pdf
Combining Trigram-Based and Feature-Based Methods for Context-Sensitive Spelling Correction
This paper addresses the problem of correcting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of correcting particular word usage errors (such as amount and number, or among and between). Such corrections require contextual information an...
false
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1996
false
false
false
false
false
false
false
false
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false
false
false
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false
false
false
false
shnarch-etal-2013-plis
https://aclanthology.org/P13-4017.pdf
PLIS: a Probabilistic Lexical Inference System
This paper presents PLIS, an open source Probabilistic Lexical Inference System which combines two functionalities: (i) a tool for integrating lexical inference knowledge from diverse resources, and (ii) a framework for scoring textual inferences based on the integrated knowledge. We provide PLIS with two probabilistic...
false
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The authors thank Eden Erez for his help with the interactive viewer and Miquel Esplà Gomis for the bilingual dictionaries. This work was partially supported by the European Community's 7 th Framework Programme (FP7/2007-2013) under grant agreement no. 287923 (EXCITEMENT) and the Israel Science Foundation grant 880/12.
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sogaard-johannsen-2012-robust
https://aclanthology.org/C12-2114.pdf
Robust Learning in Random Subspaces: Equipping NLP for OOV Effects
Inspired by work on robust optimization we introduce a subspace method for learning linear classifiers for natural language processing that are robust to out-of-vocabulary effects. The method is applicable in live-stream settings where new instances may be sampled from different and possibly also previously unseen doma...
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2012
false
false
false
false
false
false
false
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false
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false
false
dienes-dubey-2003-deep
https://aclanthology.org/P03-1055.pdf
Deep Syntactic Processing by Combining Shallow Methods
We present a novel approach for finding discontinuities that outperforms previously published results on this task. Rather than using a deeper grammar formalism, our system combines a simple unlexicalized PCFG parser with a shallow pre-processor. This pre-processor, which we call a trace tagger, does surprisingly well ...
false
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The authors would like to thank Jason Baldridge, Matthew Crocker, Geert-Jan Kruijff, Miles Osborne and the anonymous reviewers for many helpful comments.
2003
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
false
strzalkowski-scheyen-1993-evaluation
https://aclanthology.org/1993.iwpt-1.23.pdf
Evaluation of TTP Parser: A Preliminary Report
TTP Tagged • Text Parser) is a fast and robust natural language parser specifically designed to process vast quantities of unrestricted text. TTP can analyze written text at the speed of approximately 0.3 sec/sentence, or 73 words per second. An important novel feature of TTP parser is that it is equipped with a skip-a...
false
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null
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null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
srikumar-etal-2008-extraction
https://aclanthology.org/P08-1117.pdf
Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution
This paper studies textual inference by investigating comma structures, which are highly frequent elements whose major role in the extraction of semantic relations has not been hitherto recognized. We introduce the problem of comma resolution, defined as understanding the role of commas and extracting the relations the...
false
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null
The UIUC authors were supported by NSF grant ITR IIS-0428472, DARPA funding under the Bootstrap Learning Program and a grant from Boeing.
2008
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
gyawali-etal-2013-native
https://aclanthology.org/W13-1729.pdf
Native Language Identification: a Simple n-gram Based Approach
This paper describes our approaches to Native Language Identification (NLI) for the NLI shared task 2013. NLI as a sub area of author profiling focuses on identifying the first language of an author given a text in his second language. Researchers have reported several sets of features that have achieved relatively goo...
false
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null
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null
We would like to thank the organizers of NLI shared task 2013. We would also like to thank CONACyT for its partial support of this work under scholarship 310473.
2013
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false
false
false
false
false
false
false
false
false
false
false
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false
howell-etal-2017-inferring
https://aclanthology.org/W17-0110.pdf
Inferring Case Systems from IGT: Enriching the Enrichment
In this paper, we apply two methodologies of data enrichment to predict the case systems of languages from a diverse and complex data set. The methodologies are based on those of Bender et al. (2013), but we extend them to work with a new data format and apply them to a new dataset. In doing so, we explore the effects ...
false
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null
This material is based upon work supported by the National Science Foundation under Grant No. BCS-1561833.
2017
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
castro-castro-etal-2015-authorship
https://aclanthology.org/R15-1012.pdf
Authorship Verification, Average Similarity Analysis
Authorship analysis is an important task for different text applications, for example in the field of digital forensic text analysis. Hence, we propose an authorship analysis method that compares the average similarity of a text of unknown authorship with all the text of an author. Using this idea, a text that was not ...
false
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[]
null
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null
This research has been partially funded by the Spanish Ministry of Science and Innovation (TIN2012-38536-C03-03)
2015
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
nan-etal-2021-entity
https://aclanthology.org/2021.eacl-main.235.pdf
Entity-level Factual Consistency of Abstractive Text Summarization
A key challenge for abstractive summarization is ensuring factual consistency of the generated summary with respect to the original document. For example, state-ofthe-art models trained on existing datasets exhibit entity hallucination, generating names of entities that are not present in the source document. We propos...
false
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null
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null
2021
false
false
false
false
false
false
false
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false
false
false
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false
false
false
joty-etal-2010-exploiting
https://aclanthology.org/D10-1038.pdf
Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails
This work concerns automatic topic segmentation of email conversations. We present a corpus of email threads manually annotated with topics, and evaluate annotator reliability. To our knowledge, this is the first such email corpus. We show how the existing topic segmentation models (i.e., Lexical Chain Segmenter (LCSeg...
false
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null
We are grateful to the 6 pilot annotators, 3 test annotators and to the 3 anonymous reviewers for their helpful comments. This work was supported in part by NSERC PGS award, NSERC BIN project, NSERC discovery grant and Institute for Computing, Information and Cognitive Systems (ICICS) at UBC.
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
qian-etal-2016-modal
https://aclanthology.org/2016.lilt-14.2.pdf
Modal Subordination in Type Theoretic Dynamic Logic
Classical theories of discourse semantics, such as Discourse Representation Theory (DRT), Dynamic Predicate Logic (DPL), predict that an indefinite noun phrase cannot serve as antecedent for an anaphor if the noun phrase is, but the anaphor is not, in the scope of a modal expression. However, this prediction meets with...
false
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null
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null
2016
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
sato-nakagawa-2007-bayesian
https://aclanthology.org/D07-1044.pdf
Bayesian Document Generative Model with Explicit Multiple Topics
In this paper, we proposed a novel probabilistic generative model to deal with explicit multiple-topic documents: Parametric Dirichlet Mixture Model(PDMM). PDMM is an expansion of an existing probabilistic generative model: Parametric Mixture Model(PMM) by hierarchical Bayes model. PMM models multiple-topic documents b...
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Acknowledgement This research was funded in part by MEXT Grant-in-Aid for Scientific Research on Priority Areas "i-explosion" in Japan.
2007
false
false
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false
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false
false
false
false
false
false
false
false
false
false
false
false
van-noord-2004-error
https://aclanthology.org/P04-1057.pdf
Error Mining for Wide-Coverage Grammar Engineering
Parsing systems which rely on hand-coded linguistic descriptions can only perform adequately in as far as these descriptions are correct and complete. The paper describes an error mining technique to discover problems in hand-coded linguistic descriptions for parsing such as grammars and lexicons. By analysing parse re...
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null
This research was supported by the PIONIER project Algorithms for Linguistic Processing funded by NWO.
2004
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false
false
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false
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false
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false
false
false
fourla-yannoutsou-1998-implementing
https://link.springer.com/chapter/10.1007/3-540-49478-2_27.pdf
Implementing MT in the Greek public sector
null
false
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null
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null
null
1998
false
false
false
false
false
false
false
false
false
false
false
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false
false
chen-moschitti-2018-learning
https://aclanthology.org/C18-1185.pdf
Learning to Progressively Recognize New Named Entities with Sequence to Sequence Models
In this paper, we propose to use a sequence to sequence model for Named Entity Recognition (NER) and we explore the effectiveness of such model in a progressive NER setting-a Transfer Learning (TL) setting. We train an initial model on source data and transfer it to a model that can recognize new NE categories in the t...
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null
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null
This research was partially supported by Almawave S.r.l. We would like to thank Giuseppe Castellucci, Andrea Favalli, and Raniero Romagnoli for inspiring this work with useful discussions on neural models for applications to real-world problems in the industrial world.
2018
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false
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false
false
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false
hua-etal-2021-dyploc
https://aclanthology.org/2021.acl-long.501.pdf
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation
We study the task of long-form opinion text generation, which faces at least two distinct challenges. First, existing neural generation models fall short of coherence, thus requiring efficient content planning. Second, diverse types of information are needed to guide the generator to cover both subjective and objective...
false
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null
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null
This research is supported in part by National Science Foundation through Grant IIS-1813341. We thank three anonymous reviewers for their valuable suggestions on various aspects of this work.
2021
false
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false
false
false
false
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false
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false
false
song-etal-2017-learning
https://aclanthology.org/K17-1016.pdf
Learning Word Representations with Regularization from Prior Knowledge
Conventional word embeddings are trained with specific criteria (e.g., based on language modeling or co-occurrence) inside a single information source, disregarding the opportunity for further calibration using external knowledge. This paper presents a unified framework that leverages pre-learned or external priors, in...
false
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null
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null
2017
false
false
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false
false
false
false
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false
false
false
false
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false
false
false
galley-etal-2015-deltableu
https://aclanthology.org/P15-2073.pdf
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets
We introduce Discriminative BLEU (∆BLEU), a novel metric for intrinsic evaluation of generated text in tasks that admit a diverse range of possible outputs. Reference strings are scored for quality by human raters on a scale of [−1, +1] to weight multi-reference BLEU. In tasks involving generation of conversational res...
false
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[]
null
null
null
We thank the anonymous reviewers, Jian-Yun Nie, and Alan Ritter for their helpful comments and suggestions.
2015
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
false
false
zhekova-kubler-2010-ubiu
https://aclanthology.org/S10-1019.pdf
UBIU: A Language-Independent System for Coreference Resolution
We present UBIU, a language independent system for detecting full coreference chains, composed of named entities, pronouns, and full noun phrases which makes use of memory based learning and a feature model following Rahman and Ng (2009). UBIU is evaluated on the task "Coreference Resolution in Multiple Languages" (Sem...
false
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null
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null
2010
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
chen-etal-2019-facebook
https://aclanthology.org/D19-5213.pdf
Facebook AI's WAT19 Myanmar-English Translation Task Submission
This paper describes Facebook AI's submission to the WAT 2019 Myanmar-English translation task (Nakazawa et al., 2019). Our baseline systems are BPE-based transformer models. We explore methods to leverage monolingual data to improve generalization, including self-training, back-translation and their combination. We fu...
false
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null
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null
The Authors wish to thank Sergey Edunov for sharing precious insights about his experience participating in WMT competitions and Htet Linn for feedback on how spacing is used in Burmese and for checking a handful of translations during early development.
2019
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
narsale-2010-jhu
https://aclanthology.org/W10-1746.pdf
JHU System Combination Scheme for WMT 2010
This paper describes the JHU system combination scheme that was used in the WMT 2010 submission. The incremental alignment scheme of (Karakos et.al, 2008) was used for confusion network generation. The system order in the alignment of each sentence was learned using SVMs, following the work of (Karakos et.al, 2010). Ad...
false
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[]
null
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null
This work was partially supported by the DARPA GALE program Grant No HR0022-06-2-0001. I would like to thank all the participants of WMT 2010 for their system outputs. I would also like to thank Prof. Damianos Karakos for his guidance and support. Many thanks go to the Center for Language and Speech Processing at Johns...
2010
false
false
false
false
false
false
false
false
false
false
false
false
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false
false
owoputi-etal-2013-improved
https://aclanthology.org/N13-1039.pdf
Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
We consider the problem of part-of-speech tagging for informal, online conversational text. We systematically evaluate the use of large-scale unsupervised word clustering and new lexical features to improve tagging accuracy. With these features, our system achieves state-of-the-art tagging results on both Twitter and I...
false
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null
null
null
This research was supported in part by the National Science Foundation (IIS-0915187 and IIS-1054319).
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
kang-etal-2020-neural
https://aclanthology.org/2020.emnlp-main.493.pdf
Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation
We propose a method to automatically generate a domain-and task-adaptive maskings of the given text for self-supervised pre-training, such that we can effectively adapt the language model to a particular target task (e.g. question answering). Specifically, we present a novel reinforcement learning-based framework which...
false
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null
null
null
null
2020
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
ligozat-2013-question
https://aclanthology.org/P13-2076.pdf
Question Classification Transfer
Question answering systems have been developed for many languages, but most resources were created for English, which can be a problem when developing a system in another language such as French. In particular, for question classification, no labeled question corpus is available for French, so this paper studies the po...
false
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null
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null
2013
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
hozumi-etal-1993-integration
https://aclanthology.org/1993.iwpt-1.10.pdf
Integration of Morphological and Syntactic Analysis Based on LR Parsing Algorithm
Morphological analysis of Japanese is very different from that of English, because no spaces are placed between words. The analysis includes segmentation of words. However, ambiguities in segmentation is not always resolved only with morphological information. This paper proposes a method to integrate the morphological...
false
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null
null
null
null
1993
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
false
maruf-etal-2021-explaining
https://aclanthology.org/2021.inlg-1.12.pdf
Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations
We offer an approach to explain Decision Tree (DT) predictions by addressing potential conflicts between aspects of these predictions and plausible expectations licensed by background information. We define four types of conflicts, operationalize their identification, and specify explanatory schemas that address them. ...
false
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null
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null
This research was supported in part by grant DP190100006 from the Australian Research Council. We thank Marko Bohanec, one of the creators of the Nursery dataset, for helping us understand the features and their values. We also thank the anonymous reviewers for their helpful comments.
2021
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false