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題名 MIG at NTCIR-11: Using lexical, syntactic, and semantic features for the RITE-VAL tasks
作者 Lin, Po-Cheng;Lin, Shu Yu;Huang, Chih Kai;Liu, Chao-Lin
劉昭麟
貢獻者 資科系
關鍵詞 Natural Language Processing, Textual Entailment, Information Retrieval, Negation and Antonyms, Linearly Weighted Functions
日期 2014-12
上傳時間 22-Jun-2016 17:18:54 (UTC+8)
摘要 In this paper, we describe our methods for the English and Chinese RITE-VAL tasks. We extracted relevant sentences from Wikipedia to verify the correctness of the query statements. Computational models that considered various linguistic features were built to select Wikipedia articles that contained these relevant sentences. We adopt Linearly Weighted Functions (LWFs) to balance the importance of every features and judge the answer of each query statement by the outputs of LWFs.
關聯 Proceedings of NTCIR-11 (NTCIR 11), 332‒336. Tokyo, Japan, 9-12 December 2014
資料類型 conference
dc.contributor 資科系
dc.creator (作者) Lin, Po-Cheng;Lin, Shu Yu;Huang, Chih Kai;Liu, Chao-Lin
dc.creator (作者) 劉昭麟zh_TW
dc.date (日期) 2014-12
dc.date.accessioned 22-Jun-2016 17:18:54 (UTC+8)-
dc.date.available 22-Jun-2016 17:18:54 (UTC+8)-
dc.date.issued (上傳時間) 22-Jun-2016 17:18:54 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/98243-
dc.description.abstract (摘要) In this paper, we describe our methods for the English and Chinese RITE-VAL tasks. We extracted relevant sentences from Wikipedia to verify the correctness of the query statements. Computational models that considered various linguistic features were built to select Wikipedia articles that contained these relevant sentences. We adopt Linearly Weighted Functions (LWFs) to balance the importance of every features and judge the answer of each query statement by the outputs of LWFs.
dc.format.extent 709019 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Proceedings of NTCIR-11 (NTCIR 11), 332‒336. Tokyo, Japan, 9-12 December 2014
dc.subject (關鍵詞) Natural Language Processing, Textual Entailment, Information Retrieval, Negation and Antonyms, Linearly Weighted Functions
dc.title (題名) MIG at NTCIR-11: Using lexical, syntactic, and semantic features for the RITE-VAL tasks
dc.type (資料類型) conference