Information fusion in the context of multi-document summarization

Regina Barzilay; Kathleen R. McKeown; Michael Elhadad

doi:10.3115/1034678.1034760

Information fusion in the context of multi-document summarization

Regina Barzilay, Kathleen R. McKeown, Michael Elhadad

Department of Computer Science

Research output: Contribution to journal › Conference article › peer-review

250 Scopus citations

Abstract

We present a method to automatically generate a concise summary by identifying and synthesizing similar elements across related text from a set of multiple documents. Our approach is unique in its usage of language generation to reformulate the wording of the summary.

Original language	English
Pages (from-to)	550-557
Number of pages	8
Journal	Proceedings of the Annual Meeting of the Association for Computational Linguistics
Volume	1999-June
DOIs	https://doi.org/10.3115/1034678.1034760
State	Published - 1 Jan 1999
Event	37th Annual Meeting of the Association for Computational Linguistics, ACL 1999 - College Park, United States Duration: 20 Jun 1999 → 26 Jun 1999

ASJC Scopus subject areas

Computer Science Applications
Linguistics and Language
Language and Linguistics

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10.3115/1034678.1034760

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abstract = "We present a method to automatically generate a concise summary by identifying and synthesizing similar elements across related text from a set of multiple documents. Our approach is unique in its usage of language generation to reformulate the wording of the summary.",

author = "Regina Barzilay and McKeown, {Kathleen R.} and Michael Elhadad",

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AU - McKeown, Kathleen R.

AU - Elhadad, Michael

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N2 - We present a method to automatically generate a concise summary by identifying and synthesizing similar elements across related text from a set of multiple documents. Our approach is unique in its usage of language generation to reformulate the wording of the summary.

AB - We present a method to automatically generate a concise summary by identifying and synthesizing similar elements across related text from a set of multiple documents. Our approach is unique in its usage of language generation to reformulate the wording of the summary.

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DO - 10.3115/1034678.1034760

M3 - Conference article

AN - SCOPUS:85145816610

SN - 0736-587X

VL - 1999-June

SP - 550

EP - 557

JO - Proceedings of the Annual Meeting of the Association for Computational Linguistics

JF - Proceedings of the Annual Meeting of the Association for Computational Linguistics

T2 - 37th Annual Meeting of the Association for Computational Linguistics, ACL 1999

Y2 - 20 June 1999 through 26 June 1999

ER -

Information fusion in the context of multi-document summarization

Abstract

ASJC Scopus subject areas

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