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Seeking health-related advice on the internet has become a common practice in
the digital era. Determining the trustworthiness of medical claims found online
and finding appropriate evidence for this information is increasingly
challenging. Fact-checking has emerged as an approach to assess the veracity of
factual clai... | {
"abstract": "Seeking health-related advice on the internet has become a common practice in\nthe digital era. Determining the trustworthiness of medical claims found online\nand finding appropriate evidence for this information is increasingly\nchallenging. Fact-checking has emerged as an approach to assess the vera... | null | null | new_dataset | admin | null | false | null | 309ac8b2-3681-43f5-b36c-348a03e320ab | null | Validated | {
"text_length": 1081
} | 0new_dataset |
The development of semi-supervised learning techniques is essential to
enhance the generalization capacities of machine learning algorithms. Indeed,
raw image data are abundant while labels are scarce, therefore it is crucial to
leverage unlabeled inputs to build better models. The availability of large
databases have ... | {
"abstract": "The development of semi-supervised learning techniques is essential to\nenhance the generalization capacities of machine learning algorithms. Indeed,\nraw image data are abundant while labels are scarce, therefore it is crucial to\nleverage unlabeled inputs to build better models. The availability of l... | null | null | new_dataset | admin | null | false | null | 27070983-724c-4a1f-b90c-e1d8738d2816 | null | Validated | {
"text_length": 1970
} | 0new_dataset |
We introduce the well-established social scientific concept of social
solidarity and its contestation, anti-solidarity, as a new problem setting to
supervised machine learning in NLP to assess how European solidarity discourses
changed before and after the COVID-19 outbreak was declared a global pandemic.
To this end, ... | {
"abstract": "We introduce the well-established social scientific concept of social\nsolidarity and its contestation, anti-solidarity, as a new problem setting to\nsupervised machine learning in NLP to assess how European solidarity discourses\nchanged before and after the COVID-19 outbreak was declared a global pan... | null | null | no_new_dataset | admin | null | false | null | 076834be-f521-481a-b1ca-7946cc3f3e62 | null | Validated | {
"text_length": 1627
} | 1no_new_dataset |
Entity linking (EL) is the task of linking a textual mention to its
corresponding entry in a knowledge base, and is critical for many
knowledge-intensive NLP applications. When applied to tables in scientific
papers, EL is a step toward large-scale scientific knowledge bases that could
enable advanced scientific questi... | {
"abstract": "Entity linking (EL) is the task of linking a textual mention to its\ncorresponding entry in a knowledge base, and is critical for many\nknowledge-intensive NLP applications. When applied to tables in scientific\npapers, EL is a step toward large-scale scientific knowledge bases that could\nenable advan... | null | null | no_new_dataset | admin | null | false | null | 091d8728-b3a4-4de9-a5e1-a2419e5729c4 | null | Validated | {
"text_length": 1242
} | 1no_new_dataset |
A riddle is a question or statement with double or veiled meanings, followed
by an unexpected answer. Solving riddle is a challenging task for both machine
and human, testing the capability of understanding figurative, creative natural
language and reasoning with commonsense knowledge. We introduce BiRdQA, a
bilingual ... | {
"abstract": "A riddle is a question or statement with double or veiled meanings, followed\nby an unexpected answer. Solving riddle is a challenging task for both machine\nand human, testing the capability of understanding figurative, creative natural\nlanguage and reasoning with commonsense knowledge. We introduce ... | null | null | new_dataset | admin | null | false | null | 039a5a67-2e67-40ac-8b05-939db7e0d062 | null | Validated | {
"text_length": 922
} | 0new_dataset |
As our ability to sense increases, we are experiencing a transition from
data-poor problems, in which the central issue is a lack of relevant data, to
data-rich problems, in which the central issue is to identify a few relevant
features in a sea of observations. Motivated by applications in
gravitational-wave astrophys... | {
"abstract": "As our ability to sense increases, we are experiencing a transition from\ndata-poor problems, in which the central issue is a lack of relevant data, to\ndata-rich problems, in which the central issue is to identify a few relevant\nfeatures in a sea of observations. Motivated by applications in\ngravita... | null | null | no_new_dataset | admin | null | false | null | 354aa25b-0f94-4d9e-b412-a830e2809237 | null | Validated | {
"text_length": 2031
} | 1no_new_dataset |
To better interact with users, a social robot should understand the users'
behavior, infer the intention, and respond appropriately. Machine learning is
one way of implementing robot intelligence. It provides the ability to
automatically learn and improve from experience instead of explicitly telling
the robot what to ... | {
"abstract": "To better interact with users, a social robot should understand the users'\nbehavior, infer the intention, and respond appropriately. Machine learning is\none way of implementing robot intelligence. It provides the ability to\nautomatically learn and improve from experience instead of explicitly tellin... | null | null | new_dataset | admin | null | false | null | 0aa0a75f-ff3b-4620-9932-64ad6aea89e4 | null | Validated | {
"text_length": 1639
} | 0new_dataset |
Movie-making has become one of the most costly and risky endeavors in the
entertainment industry. Continuous change in the preference of the audience
makes it harder to predict what kind of movie will be financially successful at
the box office. So, it is no wonder that cautious, intelligent stakeholders and
large prod... | {
"abstract": "Movie-making has become one of the most costly and risky endeavors in the\nentertainment industry. Continuous change in the preference of the audience\nmakes it harder to predict what kind of movie will be financially successful at\nthe box office. So, it is no wonder that cautious, intelligent stakeho... | null | null | new_dataset | admin | null | false | null | 14366fed-8b51-40fd-9cc3-c8ff049dd855 | null | Validated | {
"text_length": 2030
} | 0new_dataset |
We introduce WikiLingua, a large-scale, multilingual dataset for the
evaluation of crosslingual abstractive summarization systems. We extract
article and summary pairs in 18 languages from WikiHow, a high quality,
collaborative resource of how-to guides on a diverse set of topics written by
human authors. We create gol... | {
"abstract": "We introduce WikiLingua, a large-scale, multilingual dataset for the\nevaluation of crosslingual abstractive summarization systems. We extract\narticle and summary pairs in 18 languages from WikiHow, a high quality,\ncollaborative resource of how-to guides on a diverse set of topics written by\nhuman a... | null | null | new_dataset | admin | null | false | null | 2b06bf83-4565-40c7-bd94-55d327c90489 | null | Validated | {
"text_length": 1034
} | 0new_dataset |
With increasingly more data and computation involved in their training,
machine learning models constitute valuable intellectual property. This has
spurred interest in model stealing, which is made more practical by advances in
learning with partial, little, or no supervision. Existing defenses focus on
inserting uniqu... | {
"abstract": "With increasingly more data and computation involved in their training,\nmachine learning models constitute valuable intellectual property. This has\nspurred interest in model stealing, which is made more practical by advances in\nlearning with partial, little, or no supervision. Existing defenses focu... | null | null | no_new_dataset | admin | null | false | null | 34e24349-1528-48dd-a7cc-b25e36470f4d | null | Validated | {
"text_length": 1786
} | 1no_new_dataset |
Continuity of care is crucial to ensuring positive health outcomes for
patients discharged from an inpatient hospital setting, and improved
information sharing can help. To share information, caregivers write discharge
notes containing action items to share with patients and their future
caregivers, but these action it... | {
"abstract": "Continuity of care is crucial to ensuring positive health outcomes for\npatients discharged from an inpatient hospital setting, and improved\ninformation sharing can help. To share information, caregivers write discharge\nnotes containing action items to share with patients and their future\ncaregivers... | null | null | new_dataset | admin | null | false | null | 00207d9e-f241-43fd-81d6-65b657045f7d | null | Validated | {
"text_length": 1350
} | 0new_dataset |
Machine learning models deployed in healthcare systems face data drawn from
continually evolving environments. However, researchers proposing such models
typically evaluate them in a time-agnostic manner, with train and test splits
sampling patients throughout the entire study period. We introduce the
Evaluation on Med... | {
"abstract": "Machine learning models deployed in healthcare systems face data drawn from\ncontinually evolving environments. However, researchers proposing such models\ntypically evaluate them in a time-agnostic manner, with train and test splits\nsampling patients throughout the entire study period. We introduce t... | null | null | no_new_dataset | admin | null | false | null | 14c4fda3-5210-42ac-b939-bbe5e881a6bc | null | Validated | {
"text_length": 786
} | 1no_new_dataset |
Lecture slide presentations, a sequence of pages that contain text and
figures accompanied by speech, are constructed and presented carefully in order
to optimally transfer knowledge to students. Previous studies in multimedia and
psychology attribute the effectiveness of lecture presentations to their
multimodal natur... | {
"abstract": "Lecture slide presentations, a sequence of pages that contain text and\nfigures accompanied by speech, are constructed and presented carefully in order\nto optimally transfer knowledge to students. Previous studies in multimedia and\npsychology attribute the effectiveness of lecture presentations to th... | null | null | new_dataset | admin | null | false | null | 1d4f2924-deb2-4c82-9a01-95e659100428 | null | Validated | {
"text_length": 1831
} | 0new_dataset |
Imperfections in data annotation, known as label noise, are detrimental to
the training of machine learning models and have an often-overlooked
confounding effect on the assessment of model performance. Nevertheless,
employing experts to remove label noise by fully re-annotating large datasets
is infeasible in resource... | {
"abstract": "Imperfections in data annotation, known as label noise, are detrimental to\nthe training of machine learning models and have an often-overlooked\nconfounding effect on the assessment of model performance. Nevertheless,\nemploying experts to remove label noise by fully re-annotating large datasets\nis i... | null | null | no_new_dataset | admin | null | false | null | 2664980c-6dd3-4e96-9645-ed72da54a84b | null | Validated | {
"text_length": 1202
} | 1no_new_dataset |
We introduce the first large-scale dataset, MNISQ, for both the Quantum and
the Classical Machine Learning community during the Noisy Intermediate-Scale
Quantum era. MNISQ consists of 4,950,000 data points organized in 9
subdatasets. Building our dataset from the quantum encoding of classical
information (e.g., MNIST d... | {
"abstract": "We introduce the first large-scale dataset, MNISQ, for both the Quantum and\nthe Classical Machine Learning community during the Noisy Intermediate-Scale\nQuantum era. MNISQ consists of 4,950,000 data points organized in 9\nsubdatasets. Building our dataset from the quantum encoding of classical\ninfor... | null | null | new_dataset | admin | null | false | null | 0b9322bb-fb4b-4408-979c-1f2ac365da9e | null | Validated | {
"text_length": 2046
} | 0new_dataset |
We introduce RaidaR, a rich annotated image dataset of rainy street scenes,
to support autonomous driving research. The new dataset contains the largest
number of rainy images (58,542) to date, 5,000 of which provide semantic
segmentations and 3,658 provide object instance segmentations. The RaidaR
images cover a wide ... | {
"abstract": "We introduce RaidaR, a rich annotated image dataset of rainy street scenes,\nto support autonomous driving research. The new dataset contains the largest\nnumber of rainy images (58,542) to date, 5,000 of which provide semantic\nsegmentations and 3,658 provide object instance segmentations. The RaidaR\... | null | null | new_dataset | admin | null | false | null | 2811a11c-72ae-43e1-bf62-d086501ece10 | null | Validated | {
"text_length": 1163
} | 0new_dataset |
The availability of different pre-trained semantic models enabled the quick
development of machine learning components for downstream applications. Despite
the availability of abundant text data for low resource languages, only a few
semantic models are publicly available. Publicly available pre-trained models
are usua... | {
"abstract": "The availability of different pre-trained semantic models enabled the quick\ndevelopment of machine learning components for downstream applications. Despite\nthe availability of abundant text data for low resource languages, only a few\nsemantic models are publicly available. Publicly available pre-tra... | null | null | no_new_dataset | admin | null | false | null | 23f200e3-8943-4963-b563-044769105c27 | null | Validated | {
"text_length": 1248
} | 1no_new_dataset |
Many recent neural models have shown remarkable empirical results in Machine
Reading Comprehension, but evidence suggests sometimes the models take
advantage of dataset biases to predict and fail to generalize on out-of-sample
data. While many other approaches have been proposed to address this issue from
the computati... | {
"abstract": "Many recent neural models have shown remarkable empirical results in Machine\nReading Comprehension, but evidence suggests sometimes the models take\nadvantage of dataset biases to predict and fail to generalize on out-of-sample\ndata. While many other approaches have been proposed to address this issu... | null | null | no_new_dataset | admin | null | false | null | 298e2a99-0e5b-49a9-935b-ddb37e83be36 | null | Validated | {
"text_length": 816
} | 1no_new_dataset |
Subseasonal forecasting of the weather two to six weeks in advance is
critical for resource allocation and climate adaptation but poses many
challenges for the forecasting community. At this forecast horizon,
physics-based dynamical models have limited skill, and the targets for
prediction depend in a complex manner on... | {
"abstract": "Subseasonal forecasting of the weather two to six weeks in advance is\ncritical for resource allocation and climate adaptation but poses many\nchallenges for the forecasting community. At this forecast horizon,\nphysics-based dynamical models have limited skill, and the targets for\nprediction depend i... | null | null | new_dataset | admin | null | false | null | 0bc818ba-e944-48fa-b660-12e49dde2661 | null | Validated | {
"text_length": 1436
} | 0new_dataset |
Understanding how events are semantically related to each other is the
essence of reading comprehension. Recent event-centric reading comprehension
datasets focus mostly on event arguments or temporal relations. While these
tasks partially evaluate machines' ability of narrative understanding,
human-like reading compre... | {
"abstract": "Understanding how events are semantically related to each other is the\nessence of reading comprehension. Recent event-centric reading comprehension\ndatasets focus mostly on event arguments or temporal relations. While these\ntasks partially evaluate machines' ability of narrative understanding,\nhuma... | null | null | new_dataset | admin | null | false | null | 1db2c1e2-fa8e-442e-a345-cec8be294fd5 | null | Validated | {
"text_length": 1339
} | 0new_dataset |
Machine reading comprehension (MRC) is a crucial task in natural language
processing and has achieved remarkable advancements. However, most of the
neural MRC models are still far from robust and fail to generalize well in
real-world applications. In order to comprehensively verify the robustness and
generalization of ... | {
"abstract": "Machine reading comprehension (MRC) is a crucial task in natural language\nprocessing and has achieved remarkable advancements. However, most of the\nneural MRC models are still far from robust and fail to generalize well in\nreal-world applications. In order to comprehensively verify the robustness an... | null | null | new_dataset | admin | null | false | null | 1328354b-0919-4070-949f-efbc0212e99f | null | Validated | {
"text_length": 1203
} | 0new_dataset |
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