NDLI: Using latent semantic analysis to find different names for the same entity in free text

Content Provider	ACM Digital Library
Author	Oates, Tim Bhat, Vinay Shanbhag, Vishal
Abstract	A common problem faced when gathering information from the web is the use of different names to refer to the same entity. For example, the city in India referred to as Bombay in some documents may be referred to as Mumbai in others because its name officially changed from the former to the latter in 1995. Multiplicity of names can cause relevant documents to be missed by search engines. Our goal is to develop an automated system that discovers additional names for an entity given just one of its names. Latent semantic analysis (LSA) is generally thought to be well-suited for this task (Berry & Fierro 1996). We demonstrate empirically that under a broad range of circumstances LSA performs poorly, and describe a two-stage algorithm based on LSA that performs significantly better.
Starting Page	31
Ending Page	35
Page Count	5
File Format	PDF
ISBN	1581135939
DOI	10.1145/584931.584939
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2002-11-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Alias discovery Free text Latent semantic analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Using latent semantic analysis to find different names for the same entity in free text