Document Indexing using Named Entities

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This article discusses document indexing using named entities.

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7 p.

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Mihalcea, Rada, 1974- & Moldovan, Dan I. January 2001.


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This article discusses document indexing using named entities.

Physical Description

7 p.


Abstract: Current text indexing and retrieval techniques have their roots in the field of Information Retrieval where the task is to extract documents that best match a query. With an ever increasing number of documents available due to the easy access through the Internet, the challenge is to provide users with concise and relevant information. The authors are proposing here a novel, yet simple approach, which indexes the named entities in the documents, such as to improve the relevance of documents retrieved. Experiments performed in finding information related to a set of 75 input questions, from a large collection of 125,000 documents, show that this new technique reduces the number of retrieved documents by a factor of 2, while still retrieving the relevant documents.


  • Studies in Informatics and Control, 2001, Bucharest: National Institute for Research and Development in Informatics


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  • Publication Title: Studies in Informatics and Control
  • Volume: 10
  • Issue: 1
  • Pages: 7
  • Peer Reviewed: Yes


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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • January 2001

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  • April 13, 2012, 9:48 a.m.

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  • March 27, 2014, 11:46 a.m.

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Mihalcea, Rada, 1974- & Moldovan, Dan I. Document Indexing using Named Entities, article, January 2001; [Bucharest, Romania]. ( accessed February 22, 2019), University of North Texas Libraries, Digital Library,; crediting UNT College of Engineering.