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Trainable, scalable summarization using robust NLP and machine learning

Authors:

Mary Ellen Okurowski,

James GorlinskyAuthors Info & Claims

ACL '98/COLING '98: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1

Pages 62 - 66

https://doi.org/10.3115/980845.980856

Published: 10 August 1998 Publication History

Abstract

We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resources. The system combines these features using a trainable feature combiner learned from summary examples through a machine learning algorithm. We demonstrate system scalability by reporting results on the best combination of summarization features for different document sources. We also present preliminary results from a task-based evaluation on summarization output usability.

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Cited By

Taufiq UPulungan RSuyanto Y(2023)Named entity recognition and dependency parsing for better concept extraction in summary obfuscation detectionExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119579217:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.119579
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Ranade SGupta JVarma VMamidi RCambria ELiu BZhang YXia Y(2013)Online debate summarization using topic directed sentiment analysisProceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining10.1145/2502069.2502076(1-6)Online publication date: 11-Aug-2013
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Trainable, scalable summarization using robust NLP and machine learning

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cover image DL Hosted proceedings

ACL '98/COLING '98: Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics - Volume 1

August 1998

768 pages

Program Chairs:
Christian Boitet
Université Joseph Fourier, Grenoble, France
,
Pete Whitelock
Sharp Laboratories of Europe Ltd., Oxford, United Kingdom

Sponsors

Government of Canada
Université de Montréal

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 10 August 1998

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Overall Acceptance Rate 85 of 443 submissions, 19%

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Cited By

Taufiq UPulungan RSuyanto Y(2023)Named entity recognition and dependency parsing for better concept extraction in summary obfuscation detectionExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.119579217:COnline publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.eswa.2023.119579
Guarino GSamet ACavallucci D(2022)PaTRIZExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.117942207:COnline publication date: 30-Nov-2022
https://dl.acm.org/doi/10.1016/j.eswa.2022.117942
Ranade SGupta JVarma VMamidi RCambria ELiu BZhang YXia Y(2013)Online debate summarization using topic directed sentiment analysisProceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining10.1145/2502069.2502076(1-6)Online publication date: 11-Aug-2013
https://dl.acm.org/doi/10.1145/2502069.2502076
Chen JSubramanian LBrewer EVaidya NBanerjee SKatabi D(2010)SMS-based web search for low-end mobile devicesProceedings of the sixteenth annual international conference on Mobile computing and networking10.1145/1859995.1860011(125-136)Online publication date: 20-Sep-2010
https://dl.acm.org/doi/10.1145/1859995.1860011
Nobata CSekine SIsahara H(2003)Evaluation of features for sentence extraction on different types of corporaProceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 1210.3115/1119312.1119316(29-36)Online publication date: 11-Jul-2003
https://dl.acm.org/doi/10.3115/1119312.1119316
Hirao TIsozaki HMaeda EMatsumoto Y(2002)Extracting important sentences with support vector machinesProceedings of the 19th international conference on Computational linguistics - Volume 110.3115/1072228.1072281(1-7)Online publication date: 24-Aug-2002
https://dl.acm.org/doi/10.3115/1072228.1072281
Okurowski MWilson HUrbina JTaylor TClark RKrapcho FHahn ULin CMani IRadev D(2000)Text summarizer in useProceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization10.5555/1567564.1567570(49-58)Online publication date: 30-Apr-2000
https://dl.acm.org/doi/10.5555/1567564.1567570
Okurowski MWilson HUrbina JTaylor TClark RKrapcho F(2000)Text summarizer in useProceedings of the 2000 NAACL-ANLPWorkshop on Automatic summarization - Volume 410.3115/1117575.1117581(49-58)Online publication date: 30-Apr-2000
https://dl.acm.org/doi/10.3115/1117575.1117581
Lin C(1999)Training a selection function for extractionProceedings of the eighth international conference on Information and knowledge management10.1145/319950.319957(55-62)Online publication date: 1-Nov-1999
https://dl.acm.org/doi/10.1145/319950.319957

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