tutorial

Automatic Text Summarization and Classification

Authors:

Steven J. Simske,

Rafael LinsAuthors Info & Claims

DocEng '18: Proceedings of the ACM Symposium on Document Engineering 2018

Article No.: 1, Pages 1 - 2

https://doi.org/10.1145/3209280.3232791

Published: 28 August 2018 Publication History

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Abstract

In this tutorial, we consider important aspects (algorithms, approaches, considerations) for tagging both unstructured and structured text for downstream use. This includes summarization, in which text information is compressed for more efficient archiving, searching, and clustering. In the tutorial, we focus on the topic of automatic text summarization, covering the most important milestones of the six decades of research in this area.

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Warner JPavel ANguyen TAgrawala MHartmann B(2023)SlideSpecs: Automatic and Interactive Presentation Feedback CollationProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584035(695-709)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584035
Lins ROliveira HCabral LBatista JTenorio BFerreira RLima Rde França Pereira e Silva GSimske SBorghoff USchimmler S(2019)The CNN-CorpusProceedings of the ACM Symposium on Document Engineering 201910.1145/3342558.3345388(1-10)Online publication date: 23-Sep-2019
https://dl.acm.org/doi/10.1145/3342558.3345388

Index Terms

Automatic Text Summarization and Classification
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
  2. Machine learning
    1. Machine learning approaches
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Clustering and classification
      2. Summarization

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Published In

DocEng '18: Proceedings of the ACM Symposium on Document Engineering 2018

August 2018

311 pages

ISBN:9781450357692

DOI:10.1145/3209280

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGDOC: ACM Special Interest Group on Systems Documentation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 August 2018

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Tutorial
Research
Refereed limited

Conference

DocEng '18

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SIGWEB

DocEng '18: ACM Symposium on Document Engineering 2018

August 28 - 31, 2018

NS, Halifax, Canada

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Overall Acceptance Rate 194 of 564 submissions, 34%

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Cited By

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Warner JPavel ANguyen TAgrawala MHartmann B(2023)SlideSpecs: Automatic and Interactive Presentation Feedback CollationProceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581641.3584035(695-709)Online publication date: 27-Mar-2023
https://dl.acm.org/doi/10.1145/3581641.3584035
Lins ROliveira HCabral LBatista JTenorio BFerreira RLima Rde França Pereira e Silva GSimske SBorghoff USchimmler S(2019)The CNN-CorpusProceedings of the ACM Symposium on Document Engineering 201910.1145/3342558.3345388(1-10)Online publication date: 23-Sep-2019
https://dl.acm.org/doi/10.1145/3342558.3345388

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Automatic Text Summarization Methods: A Comprehensive Review

Recent automatic text summarization techniques: a survey

Automatic arabic text summarization (AATS): A survey