Determining is-a relationships for Textual Entailment
نویسندگان
چکیده
The Textual Entailment task has become influential in NLP and many researchers have become interested in applying it to other tasks. However, the two major issues emerging from this body of work are the fact that NLP applications need systems that (1) attain results which are not corpus dependent and (2) assume that the text for entailment cannot be incorrect or even contradictory. In this paper we propose a system which decomposes the text into chunks via a shallow text analysis, and determines the entailment relationship by matching the information contained in the is − a pattern. The results show that the method is able to cope with the two requirements above.
منابع مشابه
ArbTE: Arabic Textual Entailment
The aim of the current work is to see how well existing techniques for textual entailment work when applied to Arabic, and to propose extensions which deal with the specific problems posed by the language. Arabic has a number of characteristics, described below, which make it particularly challenging to determine the relations between sentences. In particular, the lack of diacritics means that ...
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