Chinese Textual Entailment with Wordnet Semantic and Dependency Syntactic Analysis | |
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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 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92542 ) |