Recognizing Textual Entailment Using Lexical, Syntactical, and Semantic Information
نویسندگان
چکیده
This paper describes our system for participating in the system validation subtask of NTCIR-11 RITE-VAL. We trained a SVM model with LibSVM using features extracted from labeled sentence pairs. Besides features based on lexical, syntactic and semantic analysis, we introduce a novel approach of extracting “concepts” from a sentence and generating features based on it. Unlabeled testing sentence pairs’ features are extracted through the same process, and the SVM model that we have trained predicts their labels.
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