Document Indexing using Named Entities

Description:

This article discusses document indexing using named entities.

Creator(s):
Creation Date: January 2001
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 62
Past 30 days: 2
Yesterday: 0
Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas; Southern Methodist University

Creator (Author):
Moldovan, Dan I.

Southern Methodist University

Publisher Info:
Place of Publication: [Bucharest, Romania]
Date(s):
  • Creation: January 2001
Description:

This article discusses document indexing using named entities.

Degree:
Note:

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.

Physical Description:

7 p.

Language(s):
Subject(s):
Keyword(s): information retrieval | semantic indexing | question answering
Source: Studies in Informatics and Control, 2001, Bucharest: National Institute for Research and Development in Informatics
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc83311
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: Studies in Informatics and Control
Volume: 10
Issue: 1
Pages: 7
Peer Reviewed: Yes