A Term Importance-based Approach to Identifying Core Citations in Computational Linguistics Articles (전산언어학 분야에서 용어 중요도에 기반한 핵심 인용 논문 인식)

In-Su Kang (강인수)

doi:10.9708/jksci.2017.22.09.017

A Term Importance-based Approach to Identifying Core Citations in Computational Linguistics Articles

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2017, 22(9), pp.17-24
DOI : 10.9708/jksci.2017.22.09.017
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : May 31, 2017
Accepted : September 4, 2017
Published : September 29, 2017

In-Su Kang ¹

¹경성대학교

Accredited

ABSTRACT

Core citation recognition is to identify influential ones among the prior articles that a scholarly article cite. Previous approaches have employed citing-text occurrence information, textual similarities between citing and cited article, etc. This study proposes a term-based approach to core citation recognition, which exploits the importance of individual terms appearing in in-text citation to calculate influence-strength for each cited article. Term importance is computed using various frequency information such as term frequency(tf) in in-text citation, tf in the citing article, inverse sentence frequency in the citing article, inverse document frequency in a collection of articles. Experiments using a previous test set consisting of computational linguistics articles show that the term-based approach performs comparably with the previous approaches. The proposed technique could be easily extended by employing other term units such as n-grams and phrases, or by using new term-importance formulae.

KEYWORDS

Core Citation Recognition, Term Frequency, Citation, Citing Text

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[confproc] M. Valenzuela / 2015 / Identifying Meaningful Citations / AAAI Workshop: Scholarly Big Data

[confproc] T. Chakraborty / 2016 / All Fingers are not Equal: Intensity of References in Scientific Articles / Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing(EMNLP) : 1348~1358

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[confproc] I. G. Councill / 2008 / ParsCit: an Open-source CRF Reference String Parsing Package / Proceedings of the International Conference on Language Resources and Evaluation(LREC)

[confproc] S. Bird / 2008 / ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics / Proceedings of the International Conference on Language Resources and Evaluation(LREC)

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Term Importance-based Approach to Identifying Core Citations in Computational Linguistics Articles

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

A Term Importance-based Approach to Identifying Core Citations in Computational Linguistics Articles

ABSTRACT

KEYWORDS

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