Analysis of Identifying Linguistic Phenomena for Recognizing Inference in Text | |
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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 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/101067 ) |