WUST at NTCIR-10 RITE-2 Task: Multiple Feature Approach to Chinese Textual Entailment
نویسندگان
چکیده
ABSTRACT This paper describes our work in NTCIR-10 on RITE-2 Binary-class (BC) subtask and Multi-class (MC) subtask in Simplified Chinese. We construct the classification model based on support vector machine to recognize semantic inference in Chinese text pair, including entailment and non-entailment for BC subtask and forward entailment, bidirectional entailment, contradiction and independence for MC subtask. In our system, we use multiple features including statistical feature, lexical feature and syntactic feature.
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