Results 31 to 40 of about 571 (258)
Inherent Disagreements in Human Textual Inferences
Transactions of the Association for Computational Linguistics, 2019 We analyze human’s disagreements about the validity of natural language inferences. We show that, very often, disagreements are not dismissible as annotation “noise”, but rather persist as we collect more ratings and as we vary the amount of context ...
Pavlick, Ellie, Kwiatkowski, Tom
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Recognizing Textual Entailment with Statistical Methods [PDF]
, 2010 In this paper we propose a new cause-effect non-symmetric measure applied to the task of Recognizing Textual Entailment. First we searched over a big corpus for sentences which contains the discourse marker "because" and collected cause-effect pairs.
Miguel Ángel Ríos-Gaona +2 more
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A question-entailment approach to question answering
BMC Bioinformatics, 2019 Background One of the challenges in large-scale information retrieval (IR) is developing fine-grained and domain-specific methods to answer natural language questions.
Asma Ben Abacha, Dina Demner-Fushman
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Unsupervised Learning of Relational Entailment Graphs from Text [PDF]
, 2021 Recognizing textual entailment and paraphrasing is critical to many core natural language processing applications including question answering and semantic parsing.
Hosseini, Mohammad Javad
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A mostly unlexicalized model for recognizing textual entailment [PDF]
Proceedings of the First Workshop on Fact Extraction and VERification (FEVER), 2018 Many approaches to automatically recognizing entailment relations have employed classifiers over hand engineered lexicalized features, or deep learning models that implicitly capture lexicalization through word embeddings. This reliance on lexicalization may complicate the adaptation of these tools between domains. For example, such a system trained in
Mithun Paul +2 more
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Recognizing Textual Entailment Using Probabilistic Inference [PDF]
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015 Reconocer Text Entailment (RTE) juega un papel importante en las aplicaciones de PNL, incluidas las respuestas a preguntas, la recuperación de información, etc. En trabajos recientes, algunas investigaciones exploran expresiones "profundas" como los compromisos discursivos o la lógica estricta para representar el texto.
Lei Sha +4 more
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Engineering ProceedingsThis paper investigates the domain of Natural Language Inference (NLI), with an emphasis on Recognizing Textual Entailment (RTE). We utilize the Stanford Natural Language Inference (SNLI) dataset, a benchmark for RTE tasks, to examine the efficacy of ...
Franklin Quilumba +2 more
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Using discourse commitments to recognize textual entailment [PDF]
Proceedings of the 22nd International Conference on Computational Linguistics - COLING '08, 2008 In this paper, we introduce a new framework for recognizing textual entailment (RTE) which depends on extraction of the set of publicly-held beliefs -- known as discourse commitments -- that can be ascribed to the author of a text (t) or a hypothesis (h).
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From lexical entailment to recognizing textual entailment using linguistic resources
, 2009 From lexical entailment to recognizing textual entailment using linguistic ...
Bahadorreza Ofoghi (13059933) +1 more
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Multilevel dynamic gated inference network for recognizing textual entailment
四川大学学报. 自然科学版, 2020 Most existing models of recognizing textual entailment (RTE) get the interaction features between a premise and a hypothesis by an attention matrix at word level.
ZhangRui +5 more
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