Chinese Textual Entailment with Wordnet Semantic and Dependency Syntactic Analysis
學年 102
學期 1
發表日期 2013-08-14
作品名稱 Chinese Textual Entailment with Wordnet Semantic and Dependency Syntactic Analysis
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 2013 IEEE 14th International Conference on Information Reuse & Integration (IRI)
會議地點 San Francisco, USA
摘要 Recognizing Inference in TExt (RITE) is a task for automatically detecting entailment, paraphrase, and contradiction in texts which addressing major text understanding in information access research areas. In this paper, we proposed a Chinese textual entailment system using Wordnet semantic and dependency syntactic approaches in Recognizing Inference in Text (RITE) using the NTCIR-10 RITE-2 subtask datasets. Wordnet is used to recognize entailment at lexical level. Dependency syntactic approach is a tree edit distance algorithm applied on the dependency trees of both the text and the hypothesis. We thoroughly evaluate our approach using NTCIR-10 RITE-2 subtask datasets. As a result, our system achieved 73.28% on Traditional Chinese Binary-Class (BC) subtask and 74.57% on Simplified Chinese Binary-Class subtask with NTCIR-10 RITE-2 development datasets. Thorough experiments with the text fragments provided by the NTCIR-10 RITE-2 subtask showed that the proposed approach can improve system's overall accuracy.
關鍵字 Textual Entailment;Semantic Features; Dependency Analysis;WordNet;Syntactic Features; Machine Learning;Support Vector Machine (SVM)
語言 en
收錄於 EI
會議性質 國際
校內研討會地點
研討會時間 20130814~20130816
通訊作者 Min-Yuh Day
國別 USA
公開徵稿 Y
出版型式 電子版
出處 Proceedings of the 2013 IEEE 14th International Conference on Information Reuse & Integration (IRI), pp.69-74
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