Publication Type

Conference Proceeding Article

Version

Postprint

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 Management and Analytics

Publication

TAC 2010: Proceedings of the 3rd Text Analysis Conference, 15-16 November

First Page

1

Last Page

11

Publisher

National Institute of Standards and Technology

City or Country

Gaithersburg, MD

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Additional URL

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

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