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    題名: Analysis of Identifying Linguistic Phenomena for Recognizing Inference in Text
    作者: Day, Min-Yuh;Wang, Ya-Jung
    貢獻者: 淡江大學資訊管理學系
    關鍵詞: Linguistic Phenomena;Recognizing Inference in Text;Textual Entailment;Knowledge-based;Machine Learning
    日期: 2014-08-15
    上傳時間: 2015-03-26 16:34:59 (UTC+8)
    出版者: IEEE
    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.
    關聯: Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2014), pp.607-612
    顯示於類別:[資訊管理學系暨研究所] 會議論文

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