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@article{ART002489479},
author={In-Su Kang},
title={Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={7},
pages={31-37},
doi={10.9708/jksci.2019.24.07.031}

TY - JOUR
AU - In-Su Kang
TI - Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 7
PB - The Korean Society Of Computer And Information
SP - 31
EP - 37
SN - 1598-849X
AB - Citation-based article summarization is to create a shortened text for an academic article, reflecting the content of citing sentences which contain other’s thoughts about the target article to be summarized. To deal with the problem, this study introduces an extractive summarization method based on calculating a linear combination of various sentence salience scores, which represent the degrees to which a candidate sentence reflects the content of author’s abstract text, reader’s citing text, and the target article to be summarized. In the current study, salience scores are obtained by computing surface-level textual similarities. Experiments using CL-SciSumm datasets show that the proposed method parallels or outperforms the previous approaches in ROUGE evaluations against SciSumm-2017 human summaries and SciSumm-2016/2017 community summaries.
KW - Citation;Summarization;Text Similarity
DO - 10.9708/jksci.2019.24.07.031
ER -

In-Su Kang. (2019). Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets. Journal of The Korea Society of Computer and Information, 24(7), 31-37.

In-Su Kang. 2019, "Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets", Journal of The Korea Society of Computer and Information, vol.24, no.7 pp.31-37. Available from: doi:10.9708/jksci.2019.24.07.031

In-Su Kang "Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets" Journal of The Korea Society of Computer and Information 24.7 pp.31-37 (2019) : 31.

In-Su Kang. Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets. 2019; 24(7), 31-37. Available from: doi:10.9708/jksci.2019.24.07.031

In-Su Kang. "Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets" Journal of The Korea Society of Computer and Information 24, no.7 (2019) : 31-37.doi: 10.9708/jksci.2019.24.07.031

In-Su Kang. Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets. Journal of The Korea Society of Computer and Information, 24(7), 31-37. doi: 10.9708/jksci.2019.24.07.031

In-Su Kang. Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets. Journal of The Korea Society of Computer and Information. 2019; 24(7) 31-37. doi: 10.9708/jksci.2019.24.07.031

In-Su Kang. Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets. 2019; 24(7), 31-37. Available from: doi:10.9708/jksci.2019.24.07.031

In-Su Kang. "Citation-based Article Summarization using a Combination of Lexical Text Similarities: Evaluation with Computational Linguistics Literature Summarization Datasets" Journal of The Korea Society of Computer and Information 24, no.7 (2019) : 31-37.doi: 10.9708/jksci.2019.24.07.031