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

Tao Hsing Chang; Yao Chi Hsu; Chung Wei Chang; Yao Chuan Hsu; Hsueh Chih Chen

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

Tao Hsing Chang
, Yao Chi Hsu
, Chung Wei Chang
, Yao Chuan Hsu
, Hsueh Chih Chen

研究成果: 書貢獻/報告類型 › 會議論文篇章

摘要

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%.

貢獻的翻譯標題	Textual entailment recognition using textual features and SVM
原文	繁體中文
主出版物標題	Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013
發行者	The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面	268-277
頁數	10
ISBN（電子）	9789573079262
出版狀態	已發佈 - 2013 10月 1
事件	25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013 - Kaohsiung, 臺灣持續時間: 2013 10月 4 → 2013 10月 5

出版系列

名字	Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013

會議

會議	25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013
國家/地區	臺灣
城市	Kaohsiung
期間	2013/10/04 → 2013/10/05

Keywords

Automatic Inference
Support Vector Machine
Textual Entailment

ASJC Scopus subject areas

言語和聽力
語言與語言學

其它文件與鏈接

引用此

Chang, T. H., Hsu, Y. C., Chang, C. W., Hsu, Y. C., & Chen, H. C. (2013). 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. 於 Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013 (頁 268-277). (Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).

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. / Chang, Tao Hsing; Hsu, Yao Chi; Chang, Chung Wei 等.
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 2013. p. 268-277 (Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013).

研究成果: 書貢獻/報告類型 › 會議論文篇章

Chang, TH, Hsu, YC, Chang, CW, Hsu, YC & Chen, HC 2013, 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. 於 Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013. Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013, The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 頁 268-277, 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013, Kaohsiung, 臺灣, 2013/10/04.

Chang TH, Hsu YC, Chang CW, Hsu YC, Chen HC. 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. 於 Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP). 2013. p. 268-277. (Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013).

Chang, Tao Hsing ; Hsu, Yao Chi ; Chang, Chung Wei 等. / 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. Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 2013. 頁 268-277 (Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013).

@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",

}

TY - GEN

T1 - 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

AU - Chang, Tao Hsing

AU - Hsu, Yao Chi

AU - Chang, Chung Wei

AU - Hsu, Yao Chuan

AU - Chen, Hsueh Chih

PY - 2013/10/1

Y1 - 2013/10/1

N2 - 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%.

AB - 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%.

KW - Automatic Inference

KW - Support Vector Machine

KW - Textual Entailment

UR - https://www.scopus.com/pages/publications/85085607730

UR - https://www.scopus.com/pages/publications/85085607730#tab=citedBy

M3 - 會議論文篇章

AN - SCOPUS:85085607730

T3 - Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013

SP - 268

EP - 277

BT - Proceedings of the 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013

PB - The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)

T2 - 25th Conference on Computational Linguistics and Speech Processing, ROCLING 2013

Y2 - 4 October 2013 through 5 October 2013

ER -

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

摘要

出版系列

會議

Keywords

ASJC Scopus subject areas

其它文件與鏈接

指紋

引用此