A Survey of Paraphrasing and Textual Entailment Methods
نویسندگان
چکیده
منابع مشابه
A Survey of Paraphrasing and Textual Entailment Methods
Paraphrasing methods recognize, generate, or extract phrases, sentences, or longer natural language expressions that convey almost the same information. Textual entailment methods, on the other hand, recognize, generate, or extract pairs of natural language expressions, such that a human who reads (and trusts) the first element of a pair would most likely infer that the other element is also tr...
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This paper addresses syntax-based paraphrasing methods for Recognizing Textual Entailment (RTE). In particular, we describe a dependency-based paraphrasing algorithm, using the DIRT data set, and its application in the context of a straightforward RTE system based on aligning dependency trees. We find a small positive effect of dependency-based paraphrasing on both the RTE3 development and test...
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Variability of semantic expression is a fundamental phenomenon of a natural language where same meaning can be expressed by different texts. Natural Language Processing applications like Question Answering, Summarization, Information Retrieval systems etc. often demand a generic framework to capture major semantic inferences in order to deal with the challenges created by this phenomenon. Textu...
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The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and lexical models with some success. Here, a new approach is taken to apply world knowledge in much the same way as humans, but captured in large semantic graphs such as WordNet. We show that semantic graphs made of synsets and selected relationships between them enable fairly simple methods that pr...
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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. The entailment recognition is based on measure the cause-effect relation between the text and the hypothesis using the relative frequencies of wor...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2010
ISSN: 1076-9757
DOI: 10.1613/jair.2985