Results 41 to 50 of about 606,994 (365)
Retrospective Reader for Machine Reading Comprehension [PDF]
AAAI Conference on Artificial Intelligence, 2020 Machine reading comprehension (MRC) is an AI challenge that requires machines to determine the correct answers to questions based on a given passage. MRC systems must not only answer questions when necessary but also tactfully abstain from answering when
Zhuosheng Zhang, Junjie Yang, Hai Zhao
semanticscholar +1 more source
Frontiers in Human Neuroscience, 2021 Indirect speech acts—responding “I forgot to wear my watch today” to someone who asked for the time—are ubiquitous in daily conversation, but are understudied in current neurobiological models of language.
Meghan Healey +10 more
doaj +1 more source
Code Comprehension Confounders: A Study of Intelligence and Personal [PDF]
arXiv, 2021 Literature and intuition suggest that a developer's intelligence and personality have an impact on their performance in comprehending source code. Researchers made this suggestion in the past when discussing threats to validity of their study results.
arxiv
Multi-attention Recurrent Network for Human Communication Comprehension [PDF]
AAAI Conference on Artificial Intelligence, 2018 Human face-to-face communication is a complex multimodal signal. We use words (language modality), gestures (vision modality) and changes in tone (acoustic modality) to convey our intentions.
Amir Zadeh +5 more
semanticscholar +1 more source
Frontiers in Aging Neuroscience, 2021 Language complaints, especially in complex tasks, may occur in mild cognitive impairment (MCI). Various language measures have been studied as cognitive predictors of MCI conversion to Alzheimer's type dementia.
Maria Paula Maziero +5 more
doaj +1 more source
Nature Sustainability, 2020 Measuring the full set of society's assets is critical to the design of policies for a sustainable future.
openaire +2 more sources
Event Extraction as Machine Reading Comprehension
Conference on Empirical Methods in Natural Language Processing, 2020 Event extraction (EE) is a crucial information extraction task that aims to extract event information in texts. Previous methods for EE typically model it as a classification task, which are usually prone to the data scarcity problem.
Jian Liu +4 more
semanticscholar +1 more source
Frontiers in Psychology, 2021 This paper investigates the bilingualism originating from the native competence of a standard language (Italian) and a vernacular non-standardized local dialect (henceforth, bilectalism). We report results on the comprehension and production of narrative
Emanuela Sanfelici, Maja Roch
doaj +1 more source
Electronic Notes in Theoretical Computer Science, 2002 AbstractThe notion of an endofunctor having “greatest subcoalgebras” is introduced as a form of comprehension. This notion is shown to be instrumental in giving a systematic and abstract proof of the existence of limits for coalgebras—proved earlier by Worrell and by Gumm & Schröder.
Jacobs, B., Jacobs, B.
openaire +3 more sources
Zero-Shot Relation Extraction via Reading Comprehension [PDF]
Conference on Computational Natural Language Learning, 2017 We show that relation extraction can be reduced to answering simple reading comprehension questions, by associating one or more natural-language questions with each relation slot.
Omer Levy +3 more
semanticscholar +1 more source