Textual context analysis for information retrieval
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TL;DR
It is concluded that QLrEsxrr is auitcd to applications based on document-level descriptions, where the degree of granularity allows inaccuraciesto be smoothed out.
Abstract
article Free Access Share on Textual context analysis for information retrieval Author: Mark A. Stairmand Centre for Computatioal Linguistics, UMIST, Manchester M60 1QD, UK Centre for Computatioal Linguistics, UMIST, Manchester M60 1QD, UKView Profile Authors Info & Claims ACM SIGIR ForumVolume 31Issue SIDecember 1997pp 140–147https://doi.org/10.1145/278459.258552Published:01 July 1997Publication History 33citation1,099DownloadsMetricsTotal Citations33Total Downloads1,099Last 12 Months29Last 6 weeks4 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 AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
