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 en_US
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 USA
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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