article

Two uses of anaphora resolution in summarization

Authors:

Josef Steinberger,

Massimo Poesio,

Mijail A. Kabadjov,

Karel JeekAuthors Info & Claims

Information Processing and Management: an International Journal, Volume 43, Issue 6

Pages 1663 - 1680

https://doi.org/10.1016/j.ipm.2007.01.010

Published: 01 November 2007 Publication History

Abstract

We propose a new method for using anaphoric information in Latent Semantic Analysis (LSA), and discuss its application to develop an LSA-based summarizer which achieves a significantly better performance than a system not using anaphoric information, and a better performance by the rouge measure than all but one of the single-document summarizers participating in DUC-2002. Anaphoric information is automatically extracted using a new release of our own anaphora resolution system, GUITAR, which incorporates proper noun resolution. Our summarizer also includes a new approach for automatically identifying the dimensionality reduction of a document on the basis of the desired summarization percentage. Anaphoric information is also used to check the coherence of the summary produced by our summarizer, by a reference checker module which identifies anaphoric resolution errors caused by sentence extraction.

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Cited By

Xie DLi FLi BTeng CJi DZhang M(2023)Chinese Event Discourse Deixis Resolution: Design of the Dataset and ModelACM Transactions on Asian and Low-Resource Language Information Processing10.1145/361810922:11(1-26)Online publication date: 6-Sep-2023
https://dl.acm.org/doi/10.1145/3618109
Xiong YDai MLi FFei HLi BWu SJi DTeng C(2023)DialogRE: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in DialogsNatural Language Processing and Chinese Computing10.1007/978-3-031-44693-1_18(222-234)Online publication date: 12-Oct-2023
https://dl.acm.org/doi/10.1007/978-3-031-44693-1_18
Gao SNg Y(2022)Generating extractive sentiment summaries for natural language user queries on productsACM SIGAPP Applied Computing Review10.1145/3558053.355805422:2(5-20)Online publication date: 17-Aug-2022
https://dl.acm.org/doi/10.1145/3558053.3558054
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Index Terms

Two uses of anaphora resolution in summarization
1. Applied computing
  1. Document management and text processing
2. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources

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Copyright © Elsevier Ltd © 2007.

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Pergamon Press, Inc.

United States

Publication History

Published: 01 November 2007

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Cited By

Xie DLi FLi BTeng CJi DZhang M(2023)Chinese Event Discourse Deixis Resolution: Design of the Dataset and ModelACM Transactions on Asian and Low-Resource Language Information Processing10.1145/361810922:11(1-26)Online publication date: 6-Sep-2023
https://dl.acm.org/doi/10.1145/3618109
Xiong YDai MLi FFei HLi BWu SJi DTeng C(2023)DialogRE: An Extension of DialogRE to Investigate How Much Coreference Helps Relation Extraction in DialogsNatural Language Processing and Chinese Computing10.1007/978-3-031-44693-1_18(222-234)Online publication date: 12-Oct-2023
https://dl.acm.org/doi/10.1007/978-3-031-44693-1_18
Gao SNg Y(2022)Generating extractive sentiment summaries for natural language user queries on productsACM SIGAPP Applied Computing Review10.1145/3558053.355805422:2(5-20)Online publication date: 17-Aug-2022
https://dl.acm.org/doi/10.1145/3558053.3558054
Lata KSingh PDutta K(2021)A comprehensive review on feature set used for anaphora resolutionArtificial Intelligence Review10.1007/s10462-020-09917-354:4(2917-3006)Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1007/s10462-020-09917-3
Gupta AKaur MMittal SGarg S(2021)PE-MSC: partial entailment-based minimum set cover for text summarizationKnowledge and Information Systems10.1007/s10115-020-01537-163:5(1045-1068)Online publication date: 1-May-2021
https://dl.acm.org/doi/10.1007/s10115-020-01537-1
Chowdhury TChakraborty TDey LChaudhury SKrishnapuram RSingla PRoy R(2019)CQASUMMProceedings of the ACM India Joint International Conference on Data Science and Management of Data10.1145/3297001.3297004(18-26)Online publication date: 3-Jan-2019
https://dl.acm.org/doi/10.1145/3297001.3297004
Kang XZong CXue N(2019)A Survey of Discourse Representations for Chinese Discourse AnnotationACM Transactions on Asian and Low-Resource Language Information Processing10.1145/329344218:3(1-25)Online publication date: 25-Jan-2019
https://dl.acm.org/doi/10.1145/3293442
Yadav CSharan A(2018)A New LSA and Entropy-Based Approach for Automatic Text Document SummarizationInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.201810010114:4(1-32)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.4018/IJSWIS.2018100101
Antunes JLins RLima ROliveira HRiss MSimske S(2018)Automatic cohesive summarization with pronominal anaphora resolutionComputer Speech and Language10.1016/j.csl.2018.05.00452:C(141-164)Online publication date: 1-Nov-2018
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Othman RBelkaroui RFaiz R(2017)Extracting Product Features for Opinion Mining Using Public Conversations in TwitterProcedia Computer Science10.1016/j.procs.2017.08.122112:C(927-935)Online publication date: 1-Sep-2017
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