關鍵字查詢 | 類別:會議論文 | | 關鍵字:A Statistical Approach with Syntactic and Semantic Features for Chinese Textual Entailment

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序號 學年期 教師動態
1 101/1 資管系 戴敏育 副教授 會議論文 發佈 A Statistical Approach with Syntactic and Semantic Features for Chinese Textual Entailment , [101-1] :A Statistical Approach with Syntactic and Semantic Features for Chinese Textual Entailment會議論文A Statistical Approach with Syntactic and Semantic Features for Chinese Textual EntailmentTu, Chun; Day, Min-yuh淡江大學資訊管理學系Textual Entailment;Semantic Features;Syntactic Features;Machine Learning;Support Vector Machine (SVM)IEEE PressProceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2012), pp.59-64IEEERecognizing Textual Entailment (RTE) is a PASCAL/TAC task in which two text fragments are processed by system to determine whether the meaning of hypothesis is entailed from another text or not. In this paper, we proposed a textual entailment system using a statistical approach that integrates syntactic and semantic techniques for Recognizing Inference in Text (RITE) using the NTCIR-9 RITE task and make a comparison between semantic and syntactic features based on their differences. We thoroughly evaluate our approach using subtasks of the NTCIR-9 RITE
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