Results 61 to 70 of about 9,260,716 (321)
TinyBERT: Distilling BERT for Natural Language Understanding [PDF]
Findings, 2019 Language model pre-training, such as BERT, has significantly improved the performances of many natural language processing tasks. However, pre-trained language models are usually computationally expensive, so it is difficult to efficiently execute them ...
Xiaoqi Jiao +7 more
semanticscholar +1 more source
A controlled language for the specification of contracts [PDF]
, 2010 Controlled natural languages have been used to enable the direct translation from natural language specifications into a formal description. In this paper we make a case for such an approach to write contracts, and translating into a temporal deontic ...
Pace, Gordon J. +2 more
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Słowa kluczowe, tagi…, i co dalej?
Studia z Filologii Polskiej i Słowiańskiej, 2014 Keywords, tags... and what else? Keywords and their latest versions, called tags, are the object of this paper. Those expressions are treated as elements of the lexical systems of respective languages: the keyword language and the tag language.
Wiesław Babik
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Generating visual explanations with natural language
Applied AI Letters, 2021 We generate natural language explanations for a fine‐grained visual recognition task. Our explanations fulfill two criteria. First, explanations are class discriminative, meaning they mention attributes in an image which are important to identify a class.
Lisa Anne Hendricks +4 more
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PIQA: Reasoning about Physical Commonsense in Natural Language [PDF]
AAAI Conference on Artificial Intelligence, 2019 To apply eyeshadow without a brush, should I use a cotton swab or a toothpick? Questions requiring this kind of physical commonsense pose a challenge to today's natural language understanding systems.
Yonatan Bisk +4 more
semanticscholar +1 more source
REMATEC. Revista de Matemática, Ensino e Cultura, 2021 This paper examines some examples (taken from research conducted over the years) that show students’ linguistic attitudes in geometry tasks. The examples are framed within the Theory of Objectification with reference to the notion of sensuous cognition,
Bruno D’Amore, George Santi
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LangPro: Natural Language Theorem Prover [PDF]
, 2017 LangPro is an automated theorem prover for natural language (https://github.com/kovvalsky/LangPro). Given a set of premises and a hypothesis, it is able to prove semantic relations between them. The prover is based on a version of analytic tableau method
Abzianidze, Lasha
core +2 more sources
A Survey of the Usages of Deep Learning for Natural Language Processing
IEEE Transactions on Neural Networks and Learning Systems, 2020 Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models.
Dan Otter, Julian R. Medina, J. Kalita
semanticscholar +1 more source
Natural Language to Code: How Far Are We?
ESEC/SIGSOFT FSE, 2023 A longstanding dream in software engineering research is to devise effective approaches for automating development tasks based on developers' informally-specified intentions. Such intentions are generally in the form of natural language descriptions.
Shangwen Wang +9 more
semanticscholar +1 more source
Natural Language Understanding: Methodological Conceptualization [PDF]
, 2019 This article contains the results of a theoretical analysis of the phenomenon of natural language understanding (NLU), as a methodological problem.
Shymko, Vitalii
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