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:Analysis of Identifying Linguistic Phenomena for Recognizing Inference in Text
學年103
學期1
發表日期2014/08/13
作品名稱Analysis of Identifying Linguistic Phenomena for Recognizing Inference in Text
作品名稱(其他語言)
著者Day, Min-Yuh; Wang, Ya-Jung
作品所屬單位淡江大學資訊管理學系
出版者IEEE
會議名稱2014 IEEE International Workshop on Empirical Methods for Recognizing Inference in Text (IEEE EM-RITE 2014)
會議地點San Francisco, California, USA
摘要Recognizing Textual Entailment (RTE) is a task in which two text fragments are processed by system to determine whether the meaning of hypothesis is entailed from another text or not. Although a considerable number of studies have been made on recognizing textual entailment, little is known about the power of linguistic phenomenon for recognizing inference in text. The objective of this paper is to provide a comprehensive analysis of identifying linguistic phenomena for recognizing inference in text (RITE). In this paper, we focus on RITE-VAL System Validation subtask and propose a model by using an analysis of identifying linguistic phenomena for Recognizing Inference in Text (RITE) using the development dataset of NTCIR-11 RITE-VAL subtask. The experimental results suggest that well identified linguistic phenomenon category could enhance the accuracy of textual entailment system.
關鍵字Linguistic Phenomena; Recognizing Inference in Text; Textual Entailment; Knowledge-based; Machine Learning
語言英文(美國)
收錄於EI
會議性質國際
校內研討會地點
研討會時間20140813~20140815
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 2014), pp.607-612
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