Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques

Seon Yang; Youngjoong Ko

doi:10.3115/1667583.1667631

Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques

Seon Yang, Youngjoong Ko

Dong-A University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

This paper proposes how to automatically identify Korean comparative sentences from text documents. This paper first investigates many comparative sentences referring to previous studies and then defines a set of comparative keywords from them. A sentence which contains one or more elements of the keyword set is called a comparative-sentence candidate. Finally, we use machine learning techniques to eliminate non-comparative sentences from the candidates. As a result, we achieved significant performance, an F1-score of 88.54%, in our experiments using various web documents.

Original language	English
Title of host publication	ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.
Publisher	Association for Computational Linguistics (ACL)
Pages	153-156
Number of pages	4
ISBN (Print)	9781617382581
DOIs	https://doi.org/10.3115/1667583.1667631
State	Published - 2009
Externally published	Yes
Event	Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 - Suntec, Singapore Duration: 2 Aug 2009 → 7 Aug 2009

Publication series

Name	ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

Conference

Conference	Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009
Country/Territory	Singapore
City	Suntec
Period	2/08/09 → 7/08/09

Access to Document

10.3115/1667583.1667631

Cite this

Yang, S., & Ko, Y. (2009). Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 153-156). (ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667631

Yang, Seon ; Ko, Youngjoong. / Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques. ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.. Association for Computational Linguistics (ACL), 2009. pp. 153-156 (ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.).

@inproceedings{d6183a875ac84e7c9ed1b5183ff9fa85,

title = "Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques",

abstract = "This paper proposes how to automatically identify Korean comparative sentences from text documents. This paper first investigates many comparative sentences referring to previous studies and then defines a set of comparative keywords from them. A sentence which contains one or more elements of the keyword set is called a comparative-sentence candidate. Finally, we use machine learning techniques to eliminate non-comparative sentences from the candidates. As a result, we achieved significant performance, an F1-score of 88.54\%, in our experiments using various web documents.",

author = "Seon Yang and Youngjoong Ko",

year = "2009",

doi = "10.3115/1667583.1667631",

language = "English",

isbn = "9781617382581",

series = "ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.",

publisher = "Association for Computational Linguistics (ACL)",

pages = "153--156",

booktitle = "ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.",

note = "Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 ; Conference date: 02-08-2009 Through 07-08-2009",

}

Yang, S & Ko, Y 2009, Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques. in ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.. ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf., Association for Computational Linguistics (ACL), pp. 153-156, Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009, Suntec, Singapore, 2/08/09. https://doi.org/10.3115/1667583.1667631

Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques. / Yang, Seon; Ko, Youngjoong.
ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.. Association for Computational Linguistics (ACL), 2009. p. 153-156 (ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques

AU - Yang, Seon

AU - Ko, Youngjoong

PY - 2009

Y1 - 2009

N2 - This paper proposes how to automatically identify Korean comparative sentences from text documents. This paper first investigates many comparative sentences referring to previous studies and then defines a set of comparative keywords from them. A sentence which contains one or more elements of the keyword set is called a comparative-sentence candidate. Finally, we use machine learning techniques to eliminate non-comparative sentences from the candidates. As a result, we achieved significant performance, an F1-score of 88.54%, in our experiments using various web documents.

AB - This paper proposes how to automatically identify Korean comparative sentences from text documents. This paper first investigates many comparative sentences referring to previous studies and then defines a set of comparative keywords from them. A sentence which contains one or more elements of the keyword set is called a comparative-sentence candidate. Finally, we use machine learning techniques to eliminate non-comparative sentences from the candidates. As a result, we achieved significant performance, an F1-score of 88.54%, in our experiments using various web documents.

UR - https://www.scopus.com/pages/publications/80053414224

U2 - 10.3115/1667583.1667631

DO - 10.3115/1667583.1667631

M3 - Conference contribution

AN - SCOPUS:80053414224

SN - 9781617382581

T3 - ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

SP - 153

EP - 156

BT - ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

PB - Association for Computational Linguistics (ACL)

T2 - Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009

Y2 - 2 August 2009 through 7 August 2009

ER -

Yang S, Ko Y. Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.. Association for Computational Linguistics (ACL). 2009. p. 153-156. (ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.). doi: 10.3115/1667583.1667631

Extracting comparative sentences from Korean text documents using comparative lexical patterns and machine learning techniques

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this