Citation Analysis

Abstract

Researchers have largely focused on analyzing citation links from one scholarly work to another. Such citing sentences are an important part of the narrative in a research article. If we can automatically identify such sentences, we can devise an editor that helps suggest when a particular piece of text needs to be backed up with a citation or not. In terms of this point, we propose a method for identifying citing sentences by constructing a classifier using supervised learning.

Publication

2019

Su, Xuan; Prasad, Animesh; Kan, Min-Yen; Sugiyama, Kazunari

Neural Multi-Task Learning for Citation Function and Provenance Conference

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019), IEEE Press, 2019.

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2018

Jaidka, Kokil; Yasunaga, Michihiro; Chandrasekaran, Muthu Kumar; Radev, Dragomir; Kan, Min-Yen

The CL-SciSumm Shared Task 2018: Results and Key Insights Workshop

Proceedings of the 3rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018), vol. 2132, 2018.

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2017

Jaidka, Kokil; Chandrasekaran, Muthu Kumar; Jain, Devanshu; and Min-Yen Kan,

The CL-SciSumm Shared Task 2017: Results and Key Insights Workshop

Proceedings of the Computational Linguistics Scientific Summarization Shared Task (CL-SciSumm 2017) @ 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017), vol. 2002, CEUR, 2017.

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Prasad, Animesh

WING-NUS at CL-SciSumm 2017: Learning from Syntactic and Semantic Similarity for Citation Contextualization Workshop

Proceeding of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL) 2017, CEUR, Tokyo, Japan, 2017.

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An, Juyong; Kim, Namhee; Kan, Min-Yen; Chandrasekaran, Muthu Kumar; Song, Min

Exploring Characteristics of Highly Cited Authors according to Citation Location and Content Journal Article

In: Journal of the Association for Information Science and Technology, 2017.

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2016

Jaidka, Kokil; Chandrasekaran, Muthu Kumar; Rustagi, Sajal; Kan, Min-Yen

Overview of the CL-SciSumm 2016 Shared Task Workshop

Joint Workshop on Bibliometric-enhanced Information Retrieval and NLP for Digital Libraries (BIRNDL 2016), vol. 1610, CEUR, 2016.

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2014

Jaidka, Kokil; Chandrasekaran, Muthu Kumar; Jha, Rahul; Jones, Christopher; Kan, Min-Yen; Khanna, Ankur; Molla-Aliod, Diego; Radev, Dragomir R.; Ronzano, Francesco; Saggion, Horacio

The Computational Linguistics Summarization Pilot Task Workshop

Proceedings of Text Analysis Conference (TAC 2014), 2014.

BibTeX

2010

Sugiyama, Kazunari; Kumar, Tarun; Kan, Min-Yen; Tripathi, Ramesh C.

Identifying Citing Sentences in Research Papers Using Supervised Learning Conference

Proceedings of the 2010 International Conference on Information Retrieval and Knowledge Management (CAMP '10), 2010.

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Members