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
2017
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Prasad, Animesh WING-NUS at CL-SciSumm 2017: Learning from Syntactic and Semantic Similarity for Citation Contextualization Conference Proceeding of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL@SIGIR), CEUR, Tokyo, Japan, 2017. Links | BibTeX @conference{Prasad2017a,
title = {WING-NUS at CL-SciSumm 2017: Learning from Syntactic and Semantic Similarity for Citation Contextualization},
author = {Animesh Prasad},
url = {http://ceur-ws.org/Vol-2002/nusclscisumm2017.pdf},
year = {2017},
date = {2017-08-11},
booktitle = {Proceeding of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL@SIGIR)},
pages = {26--32},
publisher = {CEUR},
address = {Tokyo, Japan},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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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 Journal of the Association for Information Science and Technology, 2017. Links | BibTeX @article{An2017,
title = {Exploring Characteristics of Highly Cited Authors according to Citation Location and Content},
author = {An, Juyong and Kim, Namhee and Kan, Min-Yen and Chandrasekaran, Muthu Kumar and Song, Min},
url = {http://www.comp.nus.edu.sg/~kanmy/papers/jasist17.pdf},
doi = {10.1002/asi.23834},
year = {2017},
date = {2017-06-05},
journal = {Journal of the Association for Information Science and Technology},
publisher = {Wiley},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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2010
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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. Links | BibTeX @conference{,
title = {Identifying Citing Sentences in Research Papers Using Supervised Learning},
author = {Kazunari Sugiyama and Tarun Kumar and Min-Yen Kan and Ramesh C. Tripathi},
url = {http://wing.comp.nus.edu.sg/wp-content/uploads/Publications/PDF/Identifying%20Citing%20Sentences%20in%20Research%20Papers%20Using%20Supervised%20Learning.pdf
http://wing.comp.nus.edu.sg/wp-content/uploads/Publications/slide/Identifying%20Citing%20Sentences%20in%20Research%20Papers%20Using%20Supervised%20Learning%20slide.pdf},
year = {2010},
date = {2010-01-01},
booktitle = {Proceedings of the 2010 International Conference on Information Retrieval and Knowledge Management (CAMP '10)},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
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