Abstract

Article Free Access Share on Summarizing text documents: sentence selection and evaluation metrics Authors: Jade Goldstein Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PAView Profile , Mark Kantrowitz Just Research, 4616 Henry Street, Pittsburgh, PA Just Research, 4616 Henry Street, Pittsburgh, PAView Profile , Vibhu Mittal Just Research, 4616 Henry Street, Pittsburgh, PA Just Research, 4616 Henry Street, Pittsburgh, PAView Profile , Jaime Carbonell Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PAView Profile Authors Info & Claims SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrievalAugust 1999 Pages 121–128https://doi.org/10.1145/312624.312665Published:01 August 1999Publication History 264citation3,037DownloadsMetricsTotal Citations264Total Downloads3,037Last 12 Months222Last 6 weeks42 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Keywords

Computer scienceCitationSentenceLibrary scienceWorld Wide WebArtificial intelligence

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Publication Info

Year
1999
Type
article
Pages
121-128
Citations
464
Access
Closed

Social Impact

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Social media, news, blog, policy document mentions

Citation Metrics

464
OpenAlex
28
Influential

Cite This

Jade Goldstein, Mark Kantrowitz, Vibhu O. Mittal et al. (1999). Summarizing text documents. Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval , 121-128. https://doi.org/10.1145/312624.312665

Identifiers

DOI
10.1145/312624.312665

Data Quality

Data completeness: 81%