@inproceedings{585ad878510c4997b18ed21681c74bb1,
title = "基於特徵為本及使用 SVM 的文本對蘊涵關係的自動推論方法",
abstract = "The aim of this paper is to propose a system, which can automatically infer entailment relations of textual pairs. SVM is utilized as a prediction model of the system and seven features of textual pairs are employed to be input of the prediction model. The performance of this system is evaluated by dataset in CT-MC task held by RITE-2 of NTCIR. Macro-F1 of the proposed method is 46.35%.",
keywords = "Automatic Inference, Support Vector Machine, Textual Entailment",
author = "Chang, {Tao Hsing} and Hsu, {Yao Chi} and Chang, {Chung Wei} and Hsu, {Yao Chuan} and Chen, {Hsueh Chih}",
note = "Publisher Copyright: {\textcopyright} ROCLING 2013.All rights reserved.; 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013 ; Conference date: 04-10-2013 Through 05-10-2013",
year = "2013",
month = oct,
day = "1",
language = "繁體中文",
series = "Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013",
publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",
pages = "268--277",
booktitle = "Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013",
}