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Towards Better Ontological Support for Recognizing Textual Entailment
2010Many applications in modern information technology utilize ontological knowledge to increase their performance, precision, and success rate. However, the integration of ontological sources is in general a difficult task since the semantics of all concepts, individuals, and relations must be preserved across the various sources. In this paper we discuss
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QRNN-Transformer: Recognizing Textual Entailment
2024 IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)Xiaogang Zhu 0003 +5 more
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Refining the Judgment Threshold to Improve Recognizing Textual Entailment Using Similarity
Lecture Notes in Computer Science, 2012Quang-Thuy Ha, Ha Quang-Thuy
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Max-Cosine Matching Based Neural Models for Recognizing Textual Entailment
Lecture Notes in Computer Science, 2017Junfeng Hu, Xie Zhipeng
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Using Sentence Semantic Similarity Based on WordNet in Recognizing Textual Entailment
Lecture Notes in Computer Science, 2010exaly
Ar-SLoTE: A Recognizing Textual Entailment Tool for Arabic Question/Answering Systems
2019Wided Bakari, Mahmoud Néji
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Alignment Based Approach for Arabic Textual Entailment
Procedia Computer Science, 2019Tarik Boudaa
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Combining Lexical Resources with Fuzzy Set Theory for Recognizing Textual Entailment
2008Trevor Martin
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Entailment Analysis for Improving Chinese Recognizing Textual Entailment System. [PDF]
Int. J. Comput. Linguistics Chin. Lang. Process., 2013 Shan-Shun Yang +4 more
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