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liu-soo-1994-corpus | https://aclanthology.org/C94-1073 | A Corpus-Based Learning Technique for Building A Self-Extensible Parser | IIuman intervention and/or training corpora tagged with various kinds of information were often assumed in many natural language acquisition models. This assumption is a major source of inconsistencies, errors, and inefficiency in learning. In this paper, we explore the extent to which a parser may extend itself withou... | false | [] | [] | null | null | null | Acknowledgement This research is supported in part by NSC (National Science Council of R.@.C.) under the grant NSC83-0408-E-007-008. | 1994 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ikehara-etal-1996-statistical | https://aclanthology.org/C96-1097 | A Statistical Method for Extracting Uninterrupted and Interrupted Collocations from Very Large Corpora | In order to extract rigid expressions with a high frequency of use, new algorithm that can efficiently extract both uninterrupted and interrupted collocations from very large corpora has been proposed. The statistical method recently proposed for calculating N-gram of m'bitrary N can be applied to the extraction of uni... | false | [] | [] | null | null | null | null | 1996 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ren-etal-2020-simulspeech | https://aclanthology.org/2020.acl-main.350 | SimulSpeech: End-to-End Simultaneous Speech to Text Translation | In this work, we develop SimulSpeech, an endto-end simultaneous speech to text translation system which translates speech in source language to text in target language concurrently. SimulSpeech consists of a speech encoder, a speech segmenter and a text decoder, where 1) the segmenter builds upon the encoder and levera... | false | [] | [] | null | null | null | This work was supported in part by the National Key R&D Program of China (Grant No.2018AAA0100603), Zhejiang Natural Science Foundation (LR19F020006), National Natural Science Foundation of China (Grant No.61836002), National Natural Science Foundation of China (Grant No.U1611461), and National Natural Science Foundati... | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
tam-etal-2019-optimal | https://aclanthology.org/P19-1592 | Optimal Transport-based Alignment of Learned Character Representations for String Similarity | String similarity models are vital for record linkage, entity resolution, and search. In this work, we present STANCE-a learned model for computing the similarity of two strings. Our approach encodes the characters of each string, aligns the encodings using Sinkhorn Iteration (alignment is posed as an instance of optim... | false | [] | [] | null | null | null | 1 We used a xml dump of Wikipedia from 2016-03-05. We restrict the entities and hyperlinked spans to come from non-talk, non-list Wikipedia pages. | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
mundra-etal-2021-wassa | https://aclanthology.org/2021.wassa-1.12 | WASSA@IITK at WASSA 2021: Multi-task Learning and Transformer Finetuning for Emotion Classification and Empathy Prediction | This paper describes our contribution to the WASSA 2021 shared task on Empathy Prediction and Emotion Classification. The broad goal of this task was to model an empathy score, a distress score and the overall level of emotion of an essay written in response to a newspaper article associated with harm to someone. We ha... | true | [] | [] | Good Health and Well-Being | null | null | null | 2021 | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
light-1996-morphological | https://aclanthology.org/P96-1004 | Morphological Cues for Lexical Semantics | Most natural language processing tasks require lexical semantic information. Automated acquisition of this information would thus increase the robustness and portability of NLP systems. This paper describes an acquisition method which makes use of fixed correspondences between derivational affixes and lexical semantic ... | false | [] | [] | null | null | null | A portion of this work was performed at the University of Rochester Computer Science Department and supported by ONR/ARPA research grant number N00014-92-J-1512. | 1996 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
janssen-2021-udwiki | https://aclanthology.org/2021.udw-1.7 | UDWiki: guided creation and exploitation of UD treebanks | UDWiki is an online environment designed to make creating new UD treebanks easier. It helps in setting up all the necessary data needed for a new treebank up in a GUI, where the interface takes care of guiding you through all the descriptive files needed, adding new texts to your corpus, and helping in annotating the t... | false | [] | [] | null | null | null | null | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
bod-2007-linguistic | https://aclanthology.org/W07-0601 | A Linguistic Investigation into Unsupervised DOP | Unsupervised Data-Oriented Parsing models (U-DOP) represent a class of structure bootstrapping models that have achieved some of the best unsupervised parsing results in the literature. While U-DOP was originally proposed as an engineering approach to language learning (Bod 2005, 2006a), it turns out that the model has... | false | [] | [] | null | null | null | null | 2007 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
indurkhya-2021-using | https://aclanthology.org/2021.ranlp-1.71 | Using Collaborative Filtering to Model Argument Selection | This study evaluates whether model-based Collaborative Filtering (CF) algorithms, which have been extensively studied and widely used to build recommender systems, can be used to predict which common nouns a predicate can take as its complement. We find that, when trained on verb-noun co-occurrence data drawn from the ... | false | [] | [] | null | null | null | Three anonymous reviewers are thanked for critically reading the manuscript and providing helpful comments. | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
claeser-etal-2018-multilingual | https://aclanthology.org/W18-3218 | Multilingual Named Entity Recognition on Spanish-English Code-switched Tweets using Support Vector Machines | This paper describes our system submission for the ACL 2018 shared task on named entity recognition (NER) in codeswitched Twitter data. Our best result (F1 = 53.65) was obtained using a Support Vector Machine (SVM) with 14 features combined with rule-based postprocessing. | false | [] | [] | null | null | null | null | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
blackwood-etal-2010-fluency | https://aclanthology.org/C10-1009 | Fluency Constraints for Minimum Bayes-Risk Decoding of Statistical Machine Translation Lattices | A novel and robust approach to improving statistical machine translation fluency is developed within a minimum Bayesrisk decoding framework. By segmenting translation lattices according to confidence measures over the maximum likelihood translation hypothesis we are able to focus on regions with potential translation e... | false | [] | [] | null | null | null | We would like to thank Matt Gibson and the human judges who participated in the evaluation. This work was supported in part under the GALE program of the Defense Advanced Research Projects Agency, Contract No. HR0011-06-C-0022 and the European Union Seventh Framework Programme (FP7-ICT-2009-4) under Grant Agreement No.... | 2010 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ikehara-etal-1991-toward | https://aclanthology.org/1991.mtsummit-papers.16 | Toward an MT System without Pre-Editing: Effects of a New Method in ALT-J/E | Recently, several types of Japanese to English MT (machine translation) systems have been developed, but prior to using such systems, they have required a pre-editing process of rewriting the original text into Japanese that could be easily translated. For communication of translated information requiring speed in diss... | false | [] | [] | null | null | null | The authors wish to thank Dr. Masahiro Miyazaki, Mr. Kentarou Ogura and other members of the research group on MT for their valuable contribution to discussions. | 1991 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
chalaguine-schulz-2017-assessing | https://aclanthology.org/E17-4008 | Assessing Convincingness of Arguments in Online Debates with Limited Number of Features | We propose a new method in the field of argument analysis in social media to determining convincingness of arguments in online debates, following previous research by Habernal and Gurevych (2016). Rather than using argument specific feature values, we measure feature values relative to the average value in the debate, ... | false | [] | [] | null | null | null | We thank our colleague Oana Cocarascu from Imperial College London who provided insight and expertise that greatly assisted the research, as well as Luka Milic for assistance with the implementation of the neural network. | 2017 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
pezzelle-etal-2018-comparatives | https://aclanthology.org/N18-1039 | Comparatives, Quantifiers, Proportions: a Multi-Task Model for the Learning of Quantities from Vision | The present work investigates whether different quantification mechanisms (set comparison, vague quantification, and proportional estimation) can be jointly learned from visual scenes by a multi-task computational model. The motivation is that, in humans, these processes underlie the same cognitive, nonsymbolic ability... | false | [] | [] | null | null | null | We kindly acknowledge Gemma Boleda and the AMORE team (UPF), Raquel Fernández and the Dialogue Modelling Group (UvA) for the feedback, advice and support. We are also grateful to Aurélie Herbelot, Stephan Lee, Manuela Piazza, Sebastian Ruder, and the anonymous reviewers for their valuable comments. This project has rec... | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
hsieh-etal-2019-robustness | https://aclanthology.org/P19-1147 | On the Robustness of Self-Attentive Models | This work examines the robustness of selfattentive neural networks against adversarial input perturbations. Specifically, we investigate the attention and feature extraction mechanisms of state-of-the-art recurrent neural networks and self-attentive architectures for sentiment analysis, entailment and machine translati... | false | [] | [] | null | null | null | We are grateful for the insightful comments from anonymous reviewers. This work is supported by the Ministry of Science and Technology of Taiwan under grant numbers 107-2917-I-004-001, 108-2634-F-001-005. The author Yu-Lun Hsieh wishes to acknowledge, with thanks, the Taiwan International Graduate Program (TIGP) of Aca... | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
hahn-choi-2019-self | https://aclanthology.org/R19-1050 | Self-Knowledge Distillation in Natural Language Processing | Since deep learning became a key player in natural language processing (NLP), many deep learning models have been showing remarkable performances in a variety of NLP tasks, and in some cases, they are even outperforming humans. Such high performance can be explained by efficient knowledge representation of deep learnin... | false | [] | [] | null | null | null | null | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
vanni-zajac-1996-temple | https://aclanthology.org/X96-1024 | The Temple Translator's Workstation Project | Tipster document management architecture and it allows both translator/analysts and monolingual analysts to use the machinetranslation function for assessing the relevance of a translated document or otherwise using its information in the performance of other types of information processing. Translators can also use it... | false | [] | [] | null | null | null | null | 1996 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
tihelka-matousek-2004-design | http://www.lrec-conf.org/proceedings/lrec2004/pdf/119.pdf | The Design of Czech Language Formal Listening Tests for the Evaluation of TTS Systems | This paper presents an attempt to design listening tests for the Czech synthesis speech evaluation. The design is based on standardized and widely used listening tests for English; therefore, we can benefit from the advantages provided by standards. Bearing the Czech language phenomena in mind, we filled the standard f... | false | [] | [] | null | null | null | null | 2004 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
lin-dyer-2009-data | https://aclanthology.org/N09-4001 | Data Intensive Text Processing with MapReduce | This half-day tutorial introduces participants to data-intensive text processing with the MapReduce programming model [1], using the open-source Hadoop implementation. The focus will be on scalability and the tradeoffs associated with distributed processing of large datasets. Content will include general discussions ab... | false | [] | [] | null | null | null | This work is supported by NSF under awards IIS-0705832 and IIS-0836560; the Intramural Research Program of the NIH, National Library of Medicine; DARPA/IPTO Contract No. HR0011-06-2-0001 under the GALE program. Any opinions, findings, conclusions, or recommendations expressed here are the instructors' and do not necess... | 2009 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
vulic-korhonen-2016-role | https://aclanthology.org/P16-1024 | On the Role of Seed Lexicons in Learning Bilingual Word Embeddings | A shared bilingual word embedding space (SBWES) is an indispensable resource in a variety of cross-language NLP and IR tasks. A common approach to the SB-WES induction is to learn a mapping function between monolingual semantic spaces, where the mapping critically relies on a seed word lexicon used in the learning proc... | false | [] | [] | null | null | null | This work is supported by ERC Consolidator Grant LEXICAL: Lexical Acquisition Across Languages (no 648909). The authors are grateful to Roi Reichart and the anonymous reviewers for their helpful comments and suggestions. | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
li-etal-2021-tdeer | https://aclanthology.org/2021.emnlp-main.635 | TDEER: An Efficient Translating Decoding Schema for Joint Extraction of Entities and Relations | Joint extraction of entities and relations from unstructured texts to form factual triples is a fundamental task of constructing a Knowledge Base (KB). A common method is to decode triples by predicting entity pairs to obtain the corresponding relation. However, it is still challenging to handle this task efficiently, ... | false | [] | [] | null | null | null | null | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
schilder-1999-reference | https://aclanthology.org/W99-0112 | Reference Hashed | This paper argues for a novel data structure for the representation of discourse referents. A so-called hashing list is employed to store discourse referents according to their grammatical features. The account proposed combines insights from several theodes of discourse comprehension. Segmented Discourse Representatio... | false | [] | [] | null | null | null | I would like to thank the two annomynous reviewers to their comments and feedback. Special thanks to Christie Manning for providing me with all her help. | 1999 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
mosbach-etal-2020-interplay | https://aclanthology.org/2020.blackboxnlp-1.7 | On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers | Fine-tuning pre-trained contextualized embedding models has become an integral part of the NLP pipeline. At the same time, probing has emerged as a way to investigate the linguistic knowledge captured by pre-trained models. Very little is, however, understood about how fine-tuning affects the representations of pre-tra... | false | [] | [] | null | null | null | We thank Badr Abdullah for his comments and suggestions. We would also like to thank the reviewers for their useful comments and feedback, in particular R1. This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) -project-id 232722074 -SFB 1102. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
kundu-choudhury-2014-know | https://aclanthology.org/W14-5127 | How to Know the Best Machine Translation System in Advance before Translating a Sentence? | The aim of the paper is to identify a machine translation (MT) system from a set of multiple MT systems in advance, capable of producing most appropriate translation for a source sentence. The prediction is done based on the analysis of a source sentence before translating it using these MT systems. This selection proc... | false | [] | [] | null | null | null | null | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ravi-kozareva-2019-device | https://aclanthology.org/P19-1368 | On-device Structured and Context Partitioned Projection Networks | A challenging problem in on-device text classification is to build highly accurate neural models that can fit in small memory footprint and have low latency. To address this challenge, we propose an on-device neural network SGNN++ which dynamically learns compact projection vectors from raw text using structured and co... | false | [] | [] | null | null | null | We would like to thank the organizers of the customer feedback challenging for sharing the data and the anonymous reviewers for their valuable feedback and suggestions. | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
etcheverry-wonsever-2019-unraveling | https://aclanthology.org/P19-1319 | Unraveling Antonym's Word Vectors through a Siamese-like Network | Discriminating antonyms and synonyms is an important NLP task that has the difficulty that both, antonyms and synonyms, contains similar distributional information. Consequently, pairs of antonyms and synonyms may have similar word vectors. We present an approach to unravel antonymy and synonymy from word vectors based... | false | [] | [] | null | null | null | null | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
slawik-etal-2015-stripping | https://aclanthology.org/2015.eamt-1.18 | Stripping Adjectives: Integration Techniques for Selective Stemming in SMT Systems | In this paper we present an approach to reduce data sparsity problems when translating from morphologically rich languages into less inflected languages by selectively stemming certain word types. We develop and compare three different integration strategies: replacing words with their stemmed form, combined input usin... | false | [] | [] | null | null | null | The project leading to this application has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n • 645452. | 2015 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
di-eugenio-1992-understanding | https://aclanthology.org/P92-1016 | Understanding Natural Language Instructions: The Case of Purpose Clauses | This paper presents an analysis of purpose clauses in the context of instruction understanding. Such analysis shows that goals affect the interpretation and / or execution of actions, lends support to the proposal of using generation and enablement to model relations between actions, and sheds light on some inference p... | false | [] | [] | null | null | null | For financial support I acknowledge DARPA grant no. N0014-90-J-1863 and ARt grant no. DAALO3-89-C0031PR1. Thanks to Bonnie Webber for support, insights and countless discussions, and to all the members of the AnimNL group, in particular to Mike White. Finally, thanks to the Dipartimento di Informatica -Universita' di T... | 1992 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
piits-etal-2007-designing | https://aclanthology.org/W07-2459 | Designing a Speech Corpus for Estonian Unit Selection Synthesis | The article reports the development of a speech corpus for Estonian text-to-speech synthesis based on unit selection. Introduced are the principles of the corpus as well as the procedure of its creation, from text compilation to corpus analysis and text recording. Also described are the choices made in the process of p... | false | [] | [] | null | null | null | The support from the program Language Technology Support of the Estonian has made the present work possible. | 2007 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
choi-etal-2010-propbank | http://www.lrec-conf.org/proceedings/lrec2010/pdf/73_Paper.pdf | Propbank Frameset Annotation Guidelines Using a Dedicated Editor, Cornerstone | This paper gives guidelines of how to create and update Propbank frameset files using a dedicated editor, Cornerstone. Propbank is a corpus in which the arguments of each verb predicate are annotated with their semantic roles in relation to the predicate. Propbank annotation also requires the choice of a sense ID for e... | false | [] | [] | null | null | null | We gratefully acknowledge the support of the National Science Foundation Grants CISE-CRI-0551615, Towards a Comprehensive Linguistic Annotation and CISE-CRI 0709167, Collaborative: A Multi-Representational and Multi-Layered Treebank for Hindi/Urdu, and a grant from the Defense Advanced Research Projects Agency (DARPA/I... | 2010 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ueda-washio-2021-relationship | https://aclanthology.org/2021.acl-srw.6 | On the Relationship between Zipf's Law of Abbreviation and Interfering Noise in Emergent Languages | This paper studies whether emergent languages in a signaling game follow Zipf's law of abbreviation (ZLA), especially when the communication ability of agents is limited because of interfering noises. ZLA is a wellknown tendency in human languages where the more frequently a word is used, the shorter it will be. Surpri... | false | [] | [] | null | null | null | We would like to thank Professor Yusuke Miyao for supervising our research, Jason Naradowsky for fruitful discussions and proofreading, and the anonymous reviewers for helpful suggestions. The first author would also like to thank his colleagues Taiga Ishii and Hiroaki Mizuno as they have encouraged each other in their... | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
indig-etal-2018-whats | https://aclanthology.org/L18-1091 | What's Wrong, Python? -- A Visual Differ and Graph Library for NLP in Python | The correct analysis of the output of a program based on supervised learning is inevitable in order to be able to identify the errors it produced and characterise its error types. This task is fairly difficult without a proper tool, especially if one works with complex data structures such as parse trees or sentence al... | false | [] | [] | null | null | null | null | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
brandt-skelbye-dannells-2021-ocr | https://aclanthology.org/2021.ranlp-1.23 | OCR Processing of Swedish Historical Newspapers Using Deep Hybrid CNN--LSTM Networks | Deep CNN-LSTM hybrid neural networks have proven to improve the accuracy of Optical Character Recognition (OCR) models for different languages. In this paper we examine to what extent these networks improve the OCR accuracy rates on Swedish historical newspapers. By experimenting with the open source OCR engine Calamar... | false | [] | [] | null | null | null | This work has been funded by the Swedish Research Council as part of the project Evaluation and refinement of an enhanced OCR-process for mass digitisation (2019-2020; dnr IN18-0940:1). It is also supported by Språkbanken Text and Swe-Clarin, a Swedish consortium in Common Language Resources and Technology Infrastructu... | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
amin-etal-2022-using | https://aclanthology.org/2022.ltedi-1.5 | Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users | Deaf and hard of hearing individuals regularly rely on captioning while watching live TV. Live TV captioning is evaluated by regulatory agencies using various caption evaluation metrics. However, caption evaluation metrics are often not informed by preferences of DHH users or how meaningful the captions are. There is a... | true | [] | [] | Reduced Inequalities | null | null | This material is based on work supported by the Department of Health and Human Services under Award No. 90DPCP0002-0100, and by the National Science Foundation under Award No. DGE-2125362. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessa... | 2022 | false | false | false | false | false | false | false | false | false | true | false | false | false | false | false | false | false |
arora-etal-2020-supervised | https://aclanthology.org/2020.acl-main.696 | Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi | Hindi grapheme-to-phoneme (G2P) conversion is mostly trivial, with one exception: whether a schwa represented in the orthography is pronounced or unpronounced (deleted). Previous work has attempted to predict schwa deletion in a rule-based fashion using prosodic or phonetic analysis. We present the first statistical sc... | false | [] | [] | null | null | null | null | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
zhao-chen-2009-simplex | https://aclanthology.org/N09-2006 | A Simplex Armijo Downhill Algorithm for Optimizing Statistical Machine Translation Decoding Parameters | We propose a variation of simplex-downhill algorithm specifically customized for optimizing parameters in statistical machine translation (SMT) decoder for better end-user automatic evaluation metric scores for translations, such as versions of BLEU, TER and mixtures of them. Traditional simplexdownhill has the advanta... | false | [] | [] | null | null | null | null | 2009 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
clarke-lapata-2006-constraint | https://aclanthology.org/P06-2019 | Constraint-Based Sentence Compression: An Integer Programming Approach | The ability to compress sentences while preserving their grammaticality and most of their meaning has recently received much attention. Our work views sentence compression as an optimisation problem. We develop an integer programming formulation and infer globally optimal compressions in the face of linguistically moti... | false | [] | [] | null | null | null | Thanks to Jean Carletta, Amit Dubey, Frank Keller, Steve Renals, and Sebastian Riedel for helpful comments and suggestions. Lapata acknowledges the support of EPSRC (grant GR/T04540/01). | 2006 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
saif-etal-2014-stopwords | http://www.lrec-conf.org/proceedings/lrec2014/pdf/292_Paper.pdf | On Stopwords, Filtering and Data Sparsity for Sentiment Analysis of Twitter | Sentiment classification over Twitter is usually affected by the noisy nature (abbreviations, irregular forms) of tweets data. A popular procedure to reduce the noise of textual data is to remove stopwords by using pre-compiled stopword lists or more sophisticated methods for dynamic stopword identification. However, t... | false | [] | [] | null | null | null | This work was supported by the EU-FP7 project SENSE4US (grant no. 611242). | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
sennrich-haddow-2016-linguistic | https://aclanthology.org/W16-2209 | Linguistic Input Features Improve Neural Machine Translation | Neural machine translation has recently achieved impressive results, while using little in the way of external linguistic information. In this paper we show that the strong learning capability of neural MT models does not make linguistic features redundant; they can be easily incorporated to provide further improvement... | false | [] | [] | null | null | null | This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements 645452 (QT21), and 644402 (HimL). | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
heylen-etal-2014-termwise | http://www.lrec-conf.org/proceedings/lrec2014/pdf/706_Paper.pdf | TermWise: A CAT-tool with Context-Sensitive Terminological Support. | Increasingly, large bilingual document collections are being made available online, especially in the legal domain. This type of Big Data is a valuable resource that specialized translators exploit to search for informative examples of how domain-specific expressions should be translated. However, general purpose searc... | false | [] | [] | null | null | null | null | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
sabir-etal-2021-reinforcebug | https://aclanthology.org/2021.naacl-main.477 | ReinforceBug: A Framework to Generate Adversarial Textual Examples | Adversarial Examples (AEs) generated by perturbing original training examples are useful in improving the robustness of Deep Learning (DL) based models. Most prior works generate AEs that are either unconscionable due to lexical errors or semantically and functionally deviant from original examples. In this paper, we p... | false | [] | [] | null | null | null | This work was supported with super-computing resources provided by the Phoenix HPC service at the University of Adelaide. | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
matero-etal-2019-suicide | https://aclanthology.org/W19-3005 | Suicide Risk Assessment with Multi-level Dual-Context Language and BERT | Mental health predictive systems typically model language as if from a single context (e.g. Twitter posts, status updates, or forum posts) and often limited to a single level of analysis (e.g. either the message-level or userlevel). Here, we bring these pieces together to explore the use of open-vocabulary (BERT embedd... | true | [] | [] | Good Health and Well-Being | null | null | null | 2019 | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
leonova-zuters-2021-frustration | https://aclanthology.org/2021.ranlp-1.93 | Frustration Level Annotation in Latvian Tweets with Non-Lexical Means of Expression | We present a neural-network-driven model for annotating frustration intensity in customer support tweets, based on representing tweet texts using a bag-ofwords encoding after processing with subword segmentation together with nonlexical features. The model was evaluated on tweets in English and Latvian languages, focus... | false | [] | [] | null | null | null | The research has been supported by the European Regional Development Fund within the joint project of SIA TILDE and University of Latvia "Multilingual Artificial Intelligence Based Human Computer Interaction" No.1.1.1.1/18/A/148. | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
maillette-de-buy-wenniger-simaan-2013-formal | https://aclanthology.org/W13-0807 | A Formal Characterization of Parsing Word Alignments by Synchronous Grammars with Empirical Evidence to the ITG Hypothesis. | Deciding whether a synchronous grammar formalism generates a given word alignment (the alignment coverage problem) depends on finding an adequate instance grammar and then using it to parse the word alignment. But what does it mean to parse a word alignment by a synchronous grammar? This is formally undefined until we ... | false | [] | [] | null | null | null | We thank reviewers for their helpful comments, and thank Mark-Jan Nederhof for illuminating discussions on parsing as intersection. This work is supported by The Netherlands Organization for Scientific Research (NWO) under grant nr. 612.066.929. | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ciobotaru-dinu-2021-red | https://aclanthology.org/2021.ranlp-1.34 | RED: A Novel Dataset for Romanian Emotion Detection from Tweets | In Romanian language there are some resources for automatic text comprehension, but for Emotion Detection, not lexicon-based, there are none. To cover this gap, we extracted data from Twitter and created the first dataset containing tweets annotated with five types of emotions: joy, fear, sadness, anger and neutral, wi... | false | [] | [] | null | null | null | We would like to thank Nicu Ciobotaru and Ioana Alexandra Rȃducanu for their help with the annotation process, Ligia Maria Bȃtrînca for proof reading and suggestions, as well as the anonymous reviewers for their time and valuable comments.We acknowledge the support of a grant of the Romanian Ministry of Education and R... | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
hattasch-etal-2020-summarization | https://aclanthology.org/2020.lrec-1.827 | Summarization Beyond News: The Automatically Acquired Fandom Corpora | Large state-of-the-art corpora for training neural networks to create abstractive summaries are mostly limited to the news genre, as it is expensive to acquire human-written summaries for other types of text at a large scale. In this paper, we present a novel automatic corpus construction approach to tackle this issue ... | false | [] | [] | null | null | null | This work has been supported by the German Research Foundation as part of the Research Training Group Adaptive Preparation of Information from Heterogeneous Sources (AIPHES) under grant No. GRK 1994/1. Thanks to Aurel Kilian and Ben Kohr who helped with the implementation of the first prototype and to all human annotat... | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
neill-2019-lda | https://aclanthology.org/W19-7505 | LDA Topic Modeling for pram\=aṇa Texts: A Case Study in Sanskrit NLP Corpus Building | Sanskrit texts in epistemology, metaphysics, and logic (i.e., pramāṇa texts) remain underrepresented in computational work. To begin to remedy this, a 3.5 million-token digital corpus has been prepared for document-and word-level analysis, and its potential demonstrated through Latent Dirichlet Allocation (LDA) topic m... | false | [] | [] | null | null | null | null | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
zhao-etal-2020-spanmlt | https://aclanthology.org/2020.acl-main.296 | SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction | Aspect terms extraction and opinion terms extraction are two key problems of fine-grained Aspect Based Sentiment Analysis (ABSA). The aspect-opinion pairs can provide a global profile about a product or service for consumers and opinion mining systems. However, traditional methods can not directly output aspect-opinion... | false | [] | [] | null | null | null | This research is supported in part by the National Natural Science Foundation of China under Grant 61702500. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ye-etal-2020-safer | https://aclanthology.org/2020.acl-main.317 | SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions | State-of-the-art NLP models can often be fooled by human-unaware transformations such as synonymous word substitution. For security reasons, it is of critical importance to develop models with certified robustness that can provably guarantee that the prediction is can not be altered by any possible synonymous word subs... | false | [] | [] | null | null | null | This work is supported in part by NSF CRII 1830161 and NSF CAREER 1846421. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
siegel-1997-learning | https://aclanthology.org/W97-0318 | Learning Methods for Combining Linguistic Indicators to Classify Verbs | Fourteen linguistically-motivated numerical indicators are evaluated for their ability to categorize verbs as either states or events. The values for each indicator are computed automatically across a corpus of text. To improve classification performance, machine learning techniques are employed to combine multiple ind... | false | [] | [] | null | null | null | Kathleen R. McKeown was extremely helpful regarding the formulation of our work and Judith Klavans regarding linguistic techniques. Alexander D. Charfee, Vasileios Hatzivassiloglou, Dragomir Radev and Dekai Wu provided many helpful insights regarding the evaluation and presentation of our results.This research is suppo... | 1997 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
tiedemann-2013-experiences | https://aclanthology.org/W13-5606 | Experiences in Building the Let's MT! Portal on Amazon EC2 | In this presentation I will discuss the design and implementation of Let's MT!, a collaborative platform for building statistical machine translation systems. The goal of this platform is to make MT technology, that has been developed in academia, accessible for professional translators, freelancers and everyday users ... | 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-2021-dexperts | https://aclanthology.org/2021.acl-long.522 | DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts | Despite recent advances in natural language generation, it remains challenging to control attributes of generated text. We propose DEX-PERTS: Decoding-time Experts, a decodingtime method for controlled text generation that combines a pretrained language model with "expert" LMs and/or "anti-expert" LMs in a product of e... | false | [] | [] | null | null | null | This research is supported in part by NSF (IIS-1714566), DARPA MCS program through NIWC Pacific (N66001-19-2-4031), and Allen Institute for AI. We thank OpenAI, specifically Bianca Martin and Miles Brundage, for providing access to GPT-3 through the OpenAI API Academic Access Program. We also thank UW NLP, AI2 Mosaic, ... | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
liu-seneff-2009-review | https://aclanthology.org/D09-1017 | Review Sentiment Scoring via a Parse-and-Paraphrase Paradigm | This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous work provides binary polarities only (positive and negative), and the polarity of sentiment is simply reversed when a negation is detected. T... | false | [] | [] | null | null | null | null | 2009 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
pratt-pacak-1969-automated | https://aclanthology.org/C69-1101 | Automated Processing of Medical English | Int ro duct ion The present interest of the scientific community in automated language processing has been awakened by the enormous capabilities of the high speed digltal computer. It was recognized that the computer which has the capacity to handle symbols effectively can also treat words as symbols and language as a ... | true | [] | [] | Good Health and Well-Being | null | null | null | 1969 | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
christensen-etal-2014-hierarchical | https://aclanthology.org/P14-1085 | Hierarchical Summarization: Scaling Up Multi-Document Summarization | Multi-document summarization (MDS) systems have been designed for short, unstructured summaries of 10-15 documents, and are inadequate for larger document collections. We propose a new approach to scaling up summarization called hierarchical summarization, and present the first implemented system, SUMMA. SUMMA produces... | false | [] | [] | null | null | null | We thank Amitabha Bagchi, Niranjan Balasubramanian, Danish Contractor, Oren Etzioni, Tony Fader, Carlos Guestrin, Prachi Jain, Lucy Vanderwende, Luke Zettlemoyer, and the anonymous reviewers for their helpful suggestions and feedback. We thank Hui Lin and Jeff Bilmes for providing us with their code. This research was ... | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
johnson-1984-discovery | https://aclanthology.org/P84-1070 | A Discovery Procedure for Certain Phonological Rules | Acquisition of phonological systems can be insightfully studied in terms of discovery procedures. This paper describes a discovery procedure, implemented in Lisp, capable of determining a set of ordered phonological rules, which may be in opaque contexts~ from a set of surface forms arranged in paradigms. 1. | false | [] | [] | null | null | null | null | 1984 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
adams-etal-2020-induced | https://aclanthology.org/2020.sigmorphon-1.25 | Induced Inflection-Set Keyword Search in Speech | We investigate the problem of searching for a lexeme-set in speech by searching for its inflectional variants. Experimental results indicate how lexeme-set search performance changes with the number of hypothesized inflections, while ablation experiments highlight the relative importance of different components in the ... | false | [] | [] | null | null | null | We would like to thank all reviewers for their constructive feedback. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
aggarwal-etal-2020-sukhan | https://aclanthology.org/2020.icon-main.29 | SUKHAN: Corpus of Hindi Shayaris annotated with Sentiment Polarity Information | Shayari is a form of poetry mainly popular in the Indian subcontinent, in which the poet expresses his emotions and feelings in a very poetic manner. It is one of the best ways to express our thoughts and opinions. Therefore, it is of prime importance to have an annotated corpus of Hindi shayaris for the task of sentim... | false | [] | [] | null | null | null | null | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ramanand-etal-2010-wishful | https://aclanthology.org/W10-0207 | Wishful Thinking - Finding suggestions and 'buy' wishes from product reviews | This paper describes methods aimed at solving the novel problem of automatically discovering 'wishes' from (English) documents such as reviews or customer surveys. These wishes are sentences in which authors make suggestions (especially for improvements) about a product or service or show intentions to purchase a produ... | false | [] | [] | null | null | null | null | 2010 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
channarukul-etal-2000-enriching | https://aclanthology.org/W00-1422 | Enriching partially-specified representations for text realization using an attribute grammar | We present a new approach to enriching underspecified representations of content to be realized as text. Our approach uses an attribute grammar to propagate missing information where needed in a tree that represents the text to be realized. This declaratively-specified grammar mediates between application-produced outp... | false | [] | [] | null | null | null | The authors are indebted to John T. Boyland for his helpful comments and suggestions. | 2000 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
xu-etal-2021-adaptive | https://aclanthology.org/2021.emnlp-main.198 | Adaptive Bridge between Training and Inference for Dialogue Generation | Although exposure bias has been widely studied in some NLP tasks, it faces its unique challenges in dialogue response generation, the representative one-to-various generation scenario. In real human dialogue, there are many appropriate responses for the same context, not only with different expressions, but also with d... | false | [] | [] | null | null | null | This work is supported by the Beijing Academy of Artificial Intelligence (BAAI), and the National Natural Science Foundation of China (NSFC) (No.61773362). | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
davoodi-kosseim-2016-contribution | https://aclanthology.org/W16-3620 | On the Contribution of Discourse Structure on Text Complexity Assessment | This paper investigates the influence of discourse features on text complexity assessment. To do so, we created two data sets based on the Penn Discourse Treebank and the Simple English Wikipedia corpora and compared the influence of coherence, cohesion, surface, lexical and syntactic features to assess text complexity... | false | [] | [] | null | null | null | The authors would like to thank the anonymous reviewers for their feedback on the paper. This work was financially supported by NSERC. | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
buck-vlachos-2021-trajectory | https://aclanthology.org/2021.adaptnlp-1.15 | Trajectory-Based Meta-Learning for Out-Of-Vocabulary Word Embedding Learning | Word embedding learning methods require a large number of occurrences of a word to accurately learn its embedding. However, outof-vocabulary (OOV) words which do not appear in the training corpus emerge frequently in the smaller downstream data. Recent work formulated OOV embedding learning as a fewshot regression prob... | false | [] | [] | null | null | null | null | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
kondratyuk-2019-cross | https://aclanthology.org/W19-4203 | Cross-Lingual Lemmatization and Morphology Tagging with Two-Stage Multilingual BERT Fine-Tuning | We present our CHARLES-SAARLAND system for the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology, in task 2, Morphological Analysis and Lemmatization in Context. We leverage the multilingual BERT model and apply several fine-tuning strategies introduced by UDify demonstrating exceptional evaluati... | false | [] | [] | null | null | null | Daniel Kondratyuk has been supported by the Erasmus Mundus program in Language & Communication Technologies (LCT). | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
gardner-etal-2020-determining | https://aclanthology.org/2020.wnut-1.4 | Determining Question-Answer Plausibility in Crowdsourced Datasets Using Multi-Task Learning | Datasets extracted from social networks and online forums are often prone to the pitfalls of natural language, namely the presence of unstructured and noisy data. In this work, we seek to enable the collection of high-quality question-answer datasets from social media by proposing a novel task for automated quality ana... | false | [] | [] | null | null | null | null | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
zhang-lapata-2014-chinese | https://aclanthology.org/D14-1074 | Chinese Poetry Generation with Recurrent Neural Networks | We propose a model for Chinese poem generation based on recurrent neural networks which we argue is ideally suited to capturing poetic content and form. Our generator jointly performs content selection ("what to say") and surface realization ("how to say") by learning representations of individual characters, and their... | false | [] | [] | null | null | null | We would like to thank Eva Halser for valuable discussions on the machine translation baseline. We are grateful to the 30 Chinese poetry experts for participating in our rating study. Thanks to Gujing Lu, Chu Liu, and Yibo Wang for their help with translating the poems in Table 6 and Table 1. | 2014 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
takehisa-2017-remarks | https://aclanthology.org/Y17-1028 | Remarks on Denominal -Ed Adjectives | This paper discusses denominal adjectives derived by affixation of-ed in English in light of recent advances in linguistic theory and makes the following three claims. First, unlike recent proposals arguing against their denominal status, the paper defends the widely held view that these adjectives are derived from nom... | false | [] | [] | null | null | null | I am grateful to an anonymous reviewer for providing invaluable comments on an earlier version of this paper. The usual disclaimers apply. | 2017 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
yan-etal-2021-adatag | https://aclanthology.org/2021.acl-long.362 | AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding | Automatic extraction of product attribute values is an important enabling technology in e-Commerce platforms. This task is usually modeled using sequence labeling architectures, with several extensions to handle multi-attribute extraction. One line of previous work constructs attribute-specific models, through separate... | false | [] | [] | null | null | null | This work has been supported in part by NSF SMA 18-29268. We would like to thank Jun Ma, Chenwei Zhang, Colin Lockard, Pascual Martínez-Gómez, Binxuan Huang from Amazon, and all the collaborators in USC INK research lab, for their constructive feedback on the work. We would also like to thank the anonymous reviewers fo... | 2021 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
chen-kageura-2020-multilingualization | https://aclanthology.org/2020.lrec-1.512 | Multilingualization of Medical Terminology: Semantic and Structural Embedding Approaches | The multilingualization of terminology is an essential step in the translation pipeline, to ensure the correct transfer of domain-specific concepts. Many institutions and language service providers construct and maintain multilingual terminologies, which constitute important assets. However, the curation of such multil... | true | [] | [] | Good Health and Well-Being | null | null | null | 2020 | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ge-etal-2013-event | https://aclanthology.org/D13-1001 | Event-Based Time Label Propagation for Automatic Dating of News Articles | Since many applications such as timeline summaries and temporal IR involving temporal analysis rely on document timestamps, the task of automatic dating of documents has been increasingly important. Instead of using feature-based methods as conventional models, our method attempts to date documents in a year level by e... | false | [] | [] | null | null | null | We thank the anonymous reviewers for their valuable suggestions. This paper is supported by NSFC Project 61075067, NSFC Project 61273318 and National Key Technology R&D Program (No: 2011BAH10B04-03). | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
murveit-etal-1991-speech | https://aclanthology.org/H91-1015 | Speech Recognition in SRI's Resource Management and ATIS Systems | This paper describes improvements to DECIPHER, the speech recognition component in SKI's Air Travel Information Systems (ATIS) and Resource Management systems. DECIPHER is a speaker-independent continuous speech recognition system based on hidden Markov model (HMM) technology. We show significant performance improvemen... | false | [] | [] | null | null | null | null | 1991 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
meile-1961-problems | https://aclanthology.org/1961.earlymt-1.21 | On problems of address in an automatic dictionary of French | In most printed dictionaries, the address of each article, that is of each set of information pertaining to that particular entry, is simply the word itself. It has to be so in a book for common use: for the general reader's sake, the word must be entered in its complete form.
In the case of long words, part only of th... | false | [] | [] | null | null | null | null | 1961 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
bosch-etal-2006-towards | http://www.lrec-conf.org/proceedings/lrec2006/pdf/597_pdf.pdf | Towards machine-readable lexicons for South African Bantu languages | Lexical information for South African Bantu languages is not readily available in the form of machine-readable lexicons. At present the availability of lexical information is restricted to a variety of paper dictionaries. These dictionaries display considerable diversity in the organisation and representation of data. ... | false | [] | [] | null | null | null | This material is based upon work supported by the National Research Foundation under grant number 2053403. Any opinion, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Research Foundation. | 2006 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
liu-haghighi-2011-ordering | https://aclanthology.org/P11-1111 | Ordering Prenominal Modifiers with a Reranking Approach | In this work, we present a novel approach to the generation task of ordering prenominal modifiers. We take a maximum entropy reranking approach to the problem which admits arbitrary features on a permutation of modifiers, exploiting hundreds of thousands of features in total. We compare our error rates to the state-of-... | false | [] | [] | null | null | null | Many thanks to Margaret Mitchell, Regina Barzilay, Xiao Chen, and members of the CSAIL NLP group for their help and suggestions. | 2011 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
song-etal-2012-joint | https://aclanthology.org/D12-1114 | Joint Learning for Coreference Resolution with Markov Logic | Pairwise coreference resolution models must merge pairwise coreference decisions to generate final outputs. Traditional merging methods adopt different strategies such as the bestfirst method and enforcing the transitivity constraint, but most of these methods are used independently of the pairwise learning methods as ... | false | [] | [] | null | null | null | Part of the work was done when the first author was a visiting student in the Singapore Management University. And this work was partially supported by the National High Technology Research and Development Program of China(863 Program) (No.2012AA011101), the National Natural Science Foundation of China (No.91024009, No... | 2012 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
velardi-etal-2012-new | http://www.lrec-conf.org/proceedings/lrec2012/pdf/295_Paper.pdf | A New Method for Evaluating Automatically Learned Terminological Taxonomies | Evaluating a taxonomy learned automatically against an existing gold standard is a very complex problem, because differences stem from the number, label, depth and ordering of the taxonomy nodes. In this paper we propose casting the problem as one of comparing two hierarchical clusters. To this end we defined a variati... | false | [] | [] | null | null | null | Roberto Navigli and Stefano Faralli gratefully acknowledge the support of the ERC Starting Grant MultiJEDI No. 259234. | 2012 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
cettolo-etal-2015-iwslt | https://aclanthology.org/2015.iwslt-evaluation.1 | The IWSLT 2015 Evaluation Campaign | null | false | [] | [] | null | null | null | null | 2015 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
saers-wu-2013-unsupervised-learning | https://aclanthology.org/2013.iwslt-papers.15 | Unsupervised learning of bilingual categories in inversion transduction grammar induction | We present the first known experiments incorporating unsupervised bilingual nonterminal category learning within end-to-end fully unsupervised transduction grammar induction using matched training and testing models. Despite steady recent progress, such induction experiments until now have not allowed for learning diff... | false | [] | [] | null | null | null | This material is based upon work supported in part by the Defense Advanced Research Projects Agency (DARPA) under BOLT contract no. HR0011-12-C-0016, and GALE contract nos. HR0011-06-C-0022 and HR0011-06-C-0023; by the European Union under the FP7 grant agreement no. 287658; and by the Hong Kong Research Grants Council... | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
arumae-liu-2019-guiding | https://aclanthology.org/N19-1264 | Guiding Extractive Summarization with Question-Answering Rewards | Highlighting while reading is a natural behavior for people to track salient content of a document. It would be desirable to teach an extractive summarizer to do the same. However, a major obstacle to the development of a supervised summarizer is the lack of ground-truth. Manual annotation of extraction units is costpr... | false | [] | [] | null | null | null | null | 2019 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
mann-1981-two | https://aclanthology.org/P81-1012 | Two Discourse Generators | The task of discourse generation is to produce multisentential text in natural language which (when heard or read) produces effects (informing, motivating, etc.) and impressions (conciseness, correctness, ease of reading, etc.) which are appropriate to a need or goal held by the creator of the text.
Because even little... | false | [] | [] | null | null | null | null | 1981 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
khosla-rose-2020-using | https://aclanthology.org/2020.codi-1.3 | Using Type Information to Improve Entity Coreference Resolution | Coreference resolution (CR) is an essential part of discourse analysis. Most recently, neural approaches have been proposed to improve over SOTA models from earlier paradigms. So far none of the published neural models leverage external semantic knowledge such as type information. This paper offers the first such model... | false | [] | [] | null | null | null | We thank the anonymous reviewers for their insightful comments. We are also grateful to the members of the TELEDIA group at LTI, CMU for the invaluable feedback. This work was funded in part by Dow Chemical, and Microsoft. | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ye-etal-2016-interactive | https://aclanthology.org/C16-1169 | Interactive-Predictive Machine Translation based on Syntactic Constraints of Prefix | Interactive-predictive machine translation (IPMT) is a translation mode which combines machine translation technology and human behaviours. In the IPMT system, the utilization of the prefix greatly affects the interaction efficiency. However, state-of-the-art methods filter translation hypotheses mainly according to th... | false | [] | [] | null | null | null | This work is supported by the National Natural Science Foundation of China (No. 61402299). We would like to thank the anonymous reviewers for their insightful and constructive comments. We also want to thank Yapeng Zhang for help in the preparation of experimental systems in this paper. | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
li-etal-2016-extending | https://aclanthology.org/W16-0602 | Extending Phrase-Based Translation with Dependencies by Using Graphs | In this paper, we propose a graph-based translation model which takes advantage of discontinuous phrases. The model segments a graph which combines bigram and dependency relations into subgraphs and produces translations by combining translations of these subgraphs. Experiments on Chinese-English and German-English tas... | false | [] | [] | null | null | null | This research has received funding from the People Programme ( | 2016 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
duma-menzel-2017-sef | https://aclanthology.org/S17-2024 | SEF@UHH at SemEval-2017 Task 1: Unsupervised Knowledge-Free Semantic Textual Similarity via Paragraph Vector | This paper describes our unsupervised knowledge-free approach to the SemEval-2017 Task 1 Competition. The proposed method makes use of Paragraph Vector for assessing the semantic similarity between pairs of sentences. We experimented with various dimensions of the vector and three state-of-the-art similarity metrics. G... | false | [] | [] | null | null | null | null | 2017 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
denero-etal-2006-generative | https://aclanthology.org/W06-3105 | Why Generative Phrase Models Underperform Surface Heuristics | We investigate why weights from generative models underperform heuristic estimates in phrasebased machine translation. We first propose a simple generative, phrase-based model and verify that its estimates are inferior to those given by surface statistics. The performance gap stems primarily from the addition of a hidd... | false | [] | [] | null | null | null | null | 2006 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
atwell-drakos-1987-pattern | https://aclanthology.org/E87-1010 | Pattern Recognition Applied to the Acquisition of a Grammatical Classification System From Unrestricted English Text | Within computational linguistics, the use of statistical pattern matching is generally restricted to speech processing. We have attempted to apply statistical techniques to discover a grammatical classification system from a Corpus of 'raw' English text. A discovery procedure is simpler for a simpler | false | [] | [] | null | null | null | null | 1987 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
varanasi-etal-2020-copybert | https://aclanthology.org/2020.nlp4convai-1.3 | CopyBERT: A Unified Approach to Question Generation with Self-Attention | Contextualized word embeddings provide better initialization for neural networks that deal with various natural language understanding (NLU) tasks including question answering (QA) and more recently, question generation (QG). Apart from providing meaningful word representations, pre-trained transformer models, such as ... | false | [] | [] | null | null | null | The authors would like to thank the anonymous reviewers for helpful feedback. The work was partially funded by the German Federal Ministry of Education and Research (BMBF) through the project DEEPLEE (01IW17001). | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
ager-etal-2018-modelling | https://aclanthology.org/K18-1051 | Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces | In this paper we consider semantic spaces consisting of objects from some particular domain (e.g. IMDB movie reviews). Various authors have observed that such semantic spaces often model salient features (e.g. how scary a movie is) as directions. These feature directions allow us to rank objects according to how much t... | false | [] | [] | null | null | null | This work has been supported by ERC Starting Grant 637277. | 2018 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
dirkson-2019-knowledge | https://aclanthology.org/P19-2009 | Knowledge Discovery and Hypothesis Generation from Online Patient Forums: A Research Proposal | The unprompted patient experiences shared on patient forums contain a wealth of unexploited knowledge. Mining this knowledge and crosslinking it with biomedical literature, could expose novel insights, which could subsequently provide hypotheses for further clinical research. As of yet, automated methods for open knowl... | true | [] | [] | Good Health and Well-Being | null | null | null | 2019 | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
symonds-etal-2011-modelling | https://aclanthology.org/Y11-1033 | Modelling Word Meaning using Efficient Tensor Representations | Models of word meaning, built from a corpus of text, have demonstrated success in emulating human performance on a number of cognitive tasks. Many of these models use geometric representations of words to store semantic associations between words. Often word order information is not captured in these models. The lack o... | false | [] | [] | null | null | null | null | 2011 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
lin-2004-computational | https://aclanthology.org/N04-2004 | A Computational Framework for Non-Lexicalist Semantics | Under a lexicalist approach to semantics, a verb completely encodes its syntactic and semantic structures, along with the relevant syntax-tosemantics mapping; polysemy is typically attributed to the existence of different lexical entries. A lexicon organized in this fashion contains much redundant information and is un... | false | [] | [] | null | null | null | null | 2004 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
makrai-etal-2013-applicative | https://aclanthology.org/W13-3207 | Applicative structure in vector space models | We introduce a new 50-dimensional embedding obtained by spectral clustering of a graph describing the conceptual structure of the lexicon. We use the embedding directly to investigate sets of antonymic pairs, and indirectly to argue that function application in CVSMs requires not just vectors but two transformations (c... | false | [] | [] | null | null | null | Makrai did the work on antonym set testing, Nemeskey built the embedding, Kornai advised. We would like to thank Zsófia Tardos (BUTE) and the anonymous reviewers for useful comments. Work supported by OTKA grant #82333. | 2013 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
libovicky-etal-2020-expand | https://aclanthology.org/2020.ngt-1.18 | Expand and Filter: CUNI and LMU Systems for the WNGT 2020 Duolingo Shared Task | We present our submission to the Simultaneous Translation And Paraphrase for Language Education (STAPLE) challenge. We used a standard Transformer model for translation, with a crosslingual classifier predicting correct translations on the output n-best list. To increase the diversity of the outputs, we used additional... | true | [] | [] | Quality Education | null | null | null | 2020 | false | false | false | true | false | false | false | false | false | false | false | false | false | false | false | false | false |
varadi-2000-lexical | http://www.lrec-conf.org/proceedings/lrec2000/pdf/122.pdf | Lexical and Translation Equivalence in Parallel Corpora | In the present paper we intend to investigate to what extent use of parallel corpora can help to eliminate some of the difficulties noted with bilingual dictionaries. The particular issues addressed are the bidirectionality of translation equivalence, the coverage of multiword units, and the amount of implicit knowledg... | false | [] | [] | null | null | null | The research reported in the paper was supported by Országos Tudományos Kutatási Alapprogramok (grant number T026091). | 2000 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
choi-etal-1999-english | https://aclanthology.org/1999.mtsummit-1.64 | English-to-Korean Web translator : ``FromTo/Web-EK'' | The previous English-Korean MT system that have been developed in Korea have dealt with only written text as translation object. Most of them enumerated a following list of the problems that had not seemed to be easy to solve in the near future : 1) processing of non-continuous idiomatic expressions 2) reduction of too... | false | [] | [] | null | null | null | null | 1999 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
tanase-etal-2020-upb | https://aclanthology.org/2020.semeval-1.296 | UPB at SemEval-2020 Task 12: Multilingual Offensive Language Detection on Social Media by Fine-tuning a Variety of BERT-based Models | Offensive language detection is one of the most challenging problem in the natural language processing field, being imposed by the rising presence of this phenomenon in online social media. This paper describes our Transformer-based solutions for identifying offensive language on Twitter in five languages (i.e., Englis... | true | [] | [] | Peace, Justice and Strong Institutions | null | null | null | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | true | false |
ahlberg-enache-2012-combining | http://www.lrec-conf.org/proceedings/lrec2012/pdf/360_Paper.pdf | Combining Language Resources Into A Grammar-Driven Swedish Parser | This paper describes work on a rule-based, open-source parser for Swedish. The central component is a wide-coverage grammar implemented in the GF formalism (Grammatical Framework), a dependently typed grammar formalism based on Martin-Löf type theory. GF has strong support for multilinguality and has so far been used s... | false | [] | [] | null | null | null | The work has been funded by Center of Language Technology. We would also like to give special thanks to Aarne Ranta, Elisabet Engdahl, Krasimir Angelov, Olga Caprotti, Lars Borin and John Camilleri for their help and support. | 2012 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
sinopalnikova-smrz-2006-intelligent | http://www.lrec-conf.org/proceedings/lrec2006/pdf/275_pdf.pdf | Intelligent Dictionary Interfaces: Usability Evaluation of Access-Supporting Enhancements | The present paper describes psycholinguistic experiments aimed at exploring the way people behave while accessing electronic dictionaries. In our work we focused on the access by meaning that, in comparison with the access by form, is currently less studied and very seldom implemented in modern dictionary interfaces. T... | false | [] | [] | null | null | null | null | 2006 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
boldrini-etal-2010-emotiblog | https://aclanthology.org/W10-1801 | EmotiBlog: A Finer-Grained and More Precise Learning of Subjectivity Expression Models | The exponential growth of the subjective information in the framework of the Web 2.0 has led to the need to create Natural Language Processing tools able to analyse and process such data for multiple practical applications. They require training on specifically annotated corpora, whose level of detail must be fine enou... | false | [] | [] | null | null | null | null | 2010 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false |
tufis-etal-2020-collection | https://aclanthology.org/2020.lrec-1.337 | Collection and Annotation of the Romanian Legal Corpus | We present the Romanian legislative corpus which is a valuable linguistic asset for the development of machine translation systems, especially for under-resourced languages. The knowledge that can be extracted from this resource is necessary for a deeper understanding of how law terminology is used and how it can be ma... | true | [] | [] | Peace, Justice and Strong Institutions | null | null | This research was supported by the EC grant no. INEA/CEF/ICT/A2017/1565710 for the Action no. 2017-EU-IA-0136 entitled "Multilingual Resources for CEF.AT in the legal domain" (MARCELL). | 2020 | false | false | false | false | false | false | false | false | false | false | false | false | false | false | false | true | false |
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