教師資料查詢 | 類別: 會議論文 | 教師: 戴敏育 Min-Yuh Day (瀏覽個人網頁)

標題:A Statistical Approach with Syntactic and Semantic Features for Chinese Textual Entailment
學年101
學期1
發表日期2012/08/08
作品名稱A Statistical Approach with Syntactic and Semantic Features for Chinese Textual Entailment
作品名稱(其他語言)
著者Tu, Chun; Day, Min-yuh
作品所屬單位淡江大學資訊管理學系
出版者IEEE Press
會議名稱IEEE International Conference on Information Reuse and Integration (IEEE IRI 2012)
會議地點Vegas, Nevada, USA
摘要Recognizing 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. As a result, our system achieved 73.28% accuracy on the Chinese Binary-Class (BC) subtask with NTCIR-9 RITE. Thorough experiments with the text fragments provided by the NTCIR-9 RITE task show that the proposed approach can significantly improve system accuracy.
關鍵字Textual Entailment;Semantic Features;Syntactic Features;Machine Learning;Support Vector Machine (SVM)
語言英文
收錄於EI
會議性質國際
校內研討會地點
研討會時間20120808~20120810
通訊作者Day, Min-yuh
國別美國
公開徵稿Y
出版型式電子版
出處Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2012), pp.59-64
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