Results 11 to 20 of about 612 (260)
A study on textual entailment [PDF]
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005 In this paper we study a graph-based approach to the task of textual entailment between a text and hypothesis. The approach takes into account the full lexico-syntactic context of both the text and hypothesis and relies heavily on the concept of subsumption.
Vasile Rus +3 more
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Defining textual entailment [PDF]
Journal of the Association for Information Science and Technology, 2018 Textual entailment is a relationship that obtains between fragments of text when one fragment in some sense implies the other fragment. The automation of textual entailment recognition supports a wide variety of text‐based tasks, including information retrieval, information extraction, question answering, text summarization, and machine translation ...
Daniel Z. Korman +3 more
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Asymmetric Attributional Word Similarity Measures to Detect the Relations of Textual Generality
Computers, 2020 In this work, we present a new unsupervised and language-independent methodology to detect the relations of textual generality. For this, we introduce a particular case of Textual Entailment (TE), namely Textual Entailment by Generality (TEG). TE aims to
Sebastião Pais, Gaël Dias
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Logic-Based Inference With Phrase Abduction Using Vision-and-Language Models
IEEE Access, 2023 Recognizing Textual Entailment (RTE) is among the most fundamental tasks in natural language processing applications, such as question answering and machine translation.
Akiyoshi Tomihari, Hitomi Yanaka
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Recognition of Chinese Lexical Entailment Relation Based on Word Vector [PDF]
Jisuanji gongcheng, 2016 Automatic recognition of English lexical entailment relation has many researches,and many recognition models are presented.But study on Chines lexical entailment is not sufficient while there have many studies on English lexical entailment from different
ZHANG Zhichang,ZHOU Huixia,YAO Dongren,LU Xiaoyong
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Figurative Language in Recognizing Textual Entailment [PDF]
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 We introduce a collection of recognizing textual entailment (RTE) datasets focused on figurative language. We leverage five existing datasets annotated for a variety of figurative language -- simile, metaphor, and irony -- and frame them into over 12,500 RTE examples.We evaluate how well state-of-the-art models trained on popular RTE datasets capture ...
Tuhin Chakrabarty +3 more
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Semantic Parsing for Textual Entailment [PDF]
Proceedings of the 14th International Conference on Parsing Technologies, 2015 In this paper we gauge the utility of general-purpose, open-domain semantic parsing for textual entailment recognition by combining graph-structured meaning representations with semantic technologies and formal reasoning tools. Our approach achieves high precision, and in two case studies we show that when reasoning over n-best analyses from the parser
Elisabeth Lien, Milen Kouylekov
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Entailment Graph Learning with Textual Entailment and Soft Transitivity
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022 Les graphiques d'implication typés essaient d'apprendre les relations d'implication entre les prédicats à partir du texte et de les modéliser en tant qu'arêtes entre les nœuds de prédicats. La construction des graphiques d'implication souffre généralement d'une grande rareté et d'un manque de fiabilité de la similitude distributionnelle. Nous proposons
Zhibin Chen, Yue Feng, Dong Liang Zhao
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Natural language inference for Malayalam language using language agnostic sentence representation [PDF]
PeerJ Computer Science, 2021 Natural language inference (NLI) is an essential subtask in many natural language processing applications. It is a directional relationship from premise to hypothesis.
Sara Renjit, Sumam Idicula
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Cognitive Studies | Études cognitives, 2015 Towards a Linguistically-Oriented Textual Entailment Test-Suite for Polish Based on the Semantic Syntax Approach The aim of this programmatic position paper is to show that the semantic syntax tradition of Polish linguistics associated with the name of
Adam Przepiórkowski
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