Publication Type

Conference Paper

Version

submittedVersion

Publication Date

11-2010

Abstract

Entity linking task is a process of linking the named entity within the unstructured text to the entity in the Knowledge Base. Entity liking to the relevant knowledge is useful in various information extraction and natural language processing applications that improve the user experiences such as search, summarization and so on. We propose the two way entity linking approach to reformulate query, disambiguate the entity and link to the relevant KB repository. This paper describes the details of our participation in TAC 2010 - Knowledge Base Population track. We provided an innovative approach to disambiguate the entity by query reformulation using the query context and Wikipedia knowledge through heuristic approach. We participated in Entity-Linking task using KB text and Entity-Linking task without using KB text tasks. We developed several entity linking engines to evaluate our solution. We compared our methods with a baseline approach and analyzed the experimental results. For both the tasks our system performance is competitive with 76% and 75% mean average scores respectively.

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Text Analysis Conference 3rd TAC 2010, November 15-16

First Page

1

Last Page

11

Publisher

National Institute of Standards and Technology

City or Country

Gaithersburg, MD

Copyright Owner and License

Authors

Additional URL

http://www.nist.gov/tac/publications/2010/participant.papers/SMU_SIS.proceedings.pdf

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