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Textual Entailment (TE) recognition is a task which consists in recognizing if a textual expression, the text T, entails another expression, the hypothesis H. Recently it is treated as a common solution for modeling language variability. Textual entailment captures a broad range of semantic oriented inferences needed for many Natural Language Processing (NLP) applications, like Information Retrieval...
Textual entailment recognition (RTE) is one of the fundamental problems in many natural language processing applications. This paper proposes a new method for lexical entailment measure which is based on exploiting the information in the WordNet glosses. Further we perform textual entailment recognition based on this method and cast the RTE problem to be a classification problem. The experimental...
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