Results 11 to 20 of about 1,490 (299)
A survey on textual entailment based question answering
Journal of King Saud University - Computer and Information Sciences, 2022 Question answering, an information retrieval system that seeks knowledge, is one of the classic applications in Natural Language Processing. A question answering system comprises numerous sets of subtasks.
Aarthi Paramasivam, S. Jaya Nirmala
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Recognizing Textual Entailment: Challenges in the Portuguese Language [PDF]
Information (Switzerland), 2018 Recognizing textual entailment comprises the task of determining semantic entailment relations between text fragments. A text fragment entails another text fragment if, from the meaning of the former, one can infer the meaning of the latter.
Gil Rocha +2 more
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Textual Entailment by Generality
Procedia, Social and Behavioral Sciences, 2011 AbstractTextual Entailment consists in determining if an entailment relation exists between two texts. In this paper, we present an Informative Asymmetric Measure called the Asymmetric InfoSimba (AIS), which we combine with different asym-metric association measures to recognize the specific case of Textual Entailment by Generality.
Sebastiao Pais +2 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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SNLI Indo: A recognizing textual entailment dataset in Indonesian derived from the Stanford Natural Language Inference dataset [PDF]
Data in BriefRecognizing textual entailment (RTE) is an essential task in natural language processing (NLP). It is the task of determining the inference relationship between text fragments (premise and hypothesis), of which the inference relationship is either ...
I Made Suwija Putra +2 more
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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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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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The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference [PDF]
PeerJ Computer ScienceNatural language inference (NLI) is a fundamental task in natural language processing that focuses on determining the relationship between pairs of sentences. In this article, we present a simple and straightforward approach to evaluate the effectiveness
Mohammed Alsuhaibani
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Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: Comparative Analysis and Validation Study [PDF]
JMIR Medical InformaticsBackgroundThe presence of stigmatizing language within electronic health records (EHRs) poses significant risks to patient care by perpetuating biases.
Hongbo Chen, Myrtede Alfred, Eldan Cohen
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Recognizing Partial Textual Entailment
, 2013 Textual entailment is an asymmetric relation between two text fragments that describes whether one fragment can be inferred from the other. It thus cannot capture the notion that the target fragment is “almost entailed” by the given text. The recently suggested idea of partial textual entailment may remedy this problem.
Levy, Omer +3 more
openaire +4 more sources