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Towards Cohesive Extractive Summarization through Anaphoric Expression Resolution

Published: 13 September 2016 Publication History

Abstract

This paper presents a new method for improving the cohesiveness of summaries generated by extractive summarization systems. The solution presented attempts to improve the legibility and cohesion of the generated summaries through coreference resolution. It is based on a post-processing step that binds dangling coreference to the most important entity in a given coreference chain. The proposed solution was evaluated on the CNN corpus of 3,000 news articles, using four state-of-the-art summarization systems and seventeen techniques for sentence scoring proposed in the literature. The experimental results may be considered encouraging, as the final summaries reached better ROUGE scores, besides being more cohesive.

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Cited By

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  • (2024)A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking MethodIEEE Access10.1109/ACCESS.2024.339225212(70464-70479)Online publication date: 2024
  • (2020)An Assessment of Sentence Simplification Methods in Extractive Text SummarizationProceedings of the ACM Symposium on Document Engineering 202010.1145/3395027.3419588(1-9)Online publication date: 29-Sep-2020
  • (2019)The CNN-CorpusProceedings of the ACM Symposium on Document Engineering 201910.1145/3342558.3345388(1-10)Online publication date: 23-Sep-2019
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  1. Towards Cohesive Extractive Summarization through Anaphoric Expression Resolution

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    cover image ACM Conferences
    DocEng '16: Proceedings of the 2016 ACM Symposium on Document Engineering
    September 2016
    222 pages
    ISBN:9781450344388
    DOI:10.1145/2960811
    © 2016 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    Published: 13 September 2016

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    Author Tags

    1. anaphoric expressions
    2. cohesive summarization
    3. coreference resolution

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    DocEng '16: ACM Symposium on Document Engineering 2016
    September 13 - 16, 2016
    Vienna, Austria

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    DocEng '16 Paper Acceptance Rate 11 of 35 submissions, 31%;
    Overall Acceptance Rate 194 of 564 submissions, 34%

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    View all
    • (2024)A Probabilistic Approach for Extractive Summarization Based on Clustering Cum Graph Ranking MethodIEEE Access10.1109/ACCESS.2024.339225212(70464-70479)Online publication date: 2024
    • (2020)An Assessment of Sentence Simplification Methods in Extractive Text SummarizationProceedings of the ACM Symposium on Document Engineering 202010.1145/3395027.3419588(1-9)Online publication date: 29-Sep-2020
    • (2019)The CNN-CorpusProceedings of the ACM Symposium on Document Engineering 201910.1145/3342558.3345388(1-10)Online publication date: 23-Sep-2019
    • (2018)Assessing Sentence Simplification Methods Applied to Text Summarization2018 7th Brazilian Conference on Intelligent Systems (BRACIS)10.1109/BRACIS.2018.00017(49-54)Online publication date: Oct-2018

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