TU Group at NTCIR9-RITE: Leveraging Diverse Lexical Resources for Recognizing Textual Entailment
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چکیده
This paper describes the TU system that participated in the Entrance Exam Subtask of NTCIR-9 RITE. The system consists of two phases: alignment and entailment relation recognition. In the alignment phase, the system aligns words in the two sentences by exploiting diverse lexical resources such as entailment information, hypernym-hyponym relations and synonyms. Based on the alignments and relations between them, the system recognizes semantic relations between two sentences. Our system achieved an accuracy of 0.672 on the development data, and an accuracy of 0.6493 on the formal run.
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تاریخ انتشار 2011