政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/77420

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113318/144297 (79%)
Visitors : 51027210 Online Users : 900

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 > Item 140.119/77420

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/77420

Title:	Exploring lexical, syntactic, and semantic features for Chinese textual entailment in NTCIR RITE evaluation tasks
Authors:	Huang, Wei-Jie;Liu, Chao-Lin 黃瑋杰;劉昭麟
Contributors:	資訊科學系
Keywords:	Textual entailment recognition;Negation and antonyms;Near synonym recognition;Named-entity recognition;Dependency parsing;Trained heuristic functions;Support-vector machines;Linearly weighted models;Decision trees
Date:	2017-01
Issue Date:	2015-08-05 14:29:05 (UTC+8)
Abstract:	We computed linguistic information at the lexical, syntactic, and semantic levels for Recognizing Inference in Text (RITE) tasks for both traditional and simplified Chinese in NTCIR-9 and NTCIR-10. Techniques for syntactic parsing, named-entity recognition, and near synonym recognition were employed, and features like counts of common words, statement lengths, negation words, and antonyms were considered to judge the entailment relationships of two statements, while we explored both heuristics-based functions and machine-learning approaches. The reported systems showed their robustness by simultaneously achieving second positions in the binary-classification subtasks for both simplified and traditional Chinese in NTCIR-10 RITE-2. We conducted more experiments with the test data of NTCIR-9 RITE, with good results. We also extended our work to search for better configurations of our classifiers and investigated contributions of individual features. This extended work showed interesting results and should encourage further discussions.
Relation:	Soft Computing, Volume 21, Issue 2, pp 311–330
Data Type:	article
DOI 連結:	http://dx.doi.org/10.1007/s00500-015-1629-1
DOI:	10.1007/s00500-015-1629-1
Appears in Collections:	[資訊科學系] 期刊論文

Files in This Item:

File	Description	Size	Format
s00500-015-1629-1.pdf		7558Kb	Adobe PDF2	718	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...