Results 1 to 10 of about 1,490 (299)
Journal of Information Systems Engineering and Business IntelligenceBackground: Recognizing Textual Entailment (RTE) is a task in Natural Language Processing (NLP), used for question-answering, information retrieval, and fact-checking.
Teuku Yusransyah Tandi +2 more
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An Open Domain Factoid QA Framework with Improved Validation Techniques
International Journal of Information Science and Management, 2022 The generic Question Answering (QA) framework processes questions by querying a knowledge base and extracting answers from retrieved passages using various Natural Language Processing techniques.
Emmanuel Adebisi +2 more
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IEEE Access, 2022 In this study, a Concept Question Answering system applied to the Computer Domain (CQACD) for intelligent tutoring is proposed. This system is a dialogue-based Intelligent Tutoring System (ITS) that allows the tutor and student with mixed-initiative and ...
Yu Wen, Xinhua Zhu, Lanfang Zhang
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Detecting Fine-Grained Emotions in Literature
Applied Sciences, 2023 Emotion detection in text is a fundamental aspect of affective computing and is closely linked to natural language processing. Its applications span various domains, from interactive chatbots to marketing and customer service.
Luis Rei, Dunja Mladenić
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Semantic Annotation for Textual Entailment Recognition [PDF]
, 2013 We introduce a new semantic annotation scheme for the Recognizing Textual Entailment (RTE) dataset as well as a manually annotated dataset that uses this scheme. The scheme addresses three types of modification that license entailment patterns: restrictive, appositive and conjunctive, with a formal semantic specification of these patterns' contribution
Assaf Toledo +6 more
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IEEE AccessRecognizing Textual Entailment (RTE) has become essential to determine inferential relationships between sentences in text-understanding systems. Traditionally, RTE models have addressed textual inferences at both syntactic and semantic levels.
I Made Suwija Putra +2 more
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Textual Entailment for Modern Standard Arabic
Informatica, 2021 This paper summarizes the Doctoral Thesis that examines various techniques to recognizing Arabic textual entailment, deciding whether one fragment of text entails another, where there is an exceptional level of structural and lexical ambiguities. As far as we know, the current work is the first study to apply this task for Arabic.
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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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Generated text detection based on factual and semantic consistency
四川大学学报. 自然科学版, 2023 The malicious abuse of the text generation technology has becoming more and more serious, which makes the detection for generated text considerably important.
DONG Teng-Fei +4 more
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Enhancing alignment with context similarity for natural language inference
智能科学与技术学报, 2020 Previous approaches generally use context information to improve the word representation but ignore the importance of context similarity in aligning tokens.Furthermore,most of them uniformly weight various local decisions during aggregation for the ...
Qianlong DU, Chengqing ZONG, Keh-Yih SU
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