Publication Type

Conference Proceeding Article

Publication Date

11-2009

Abstract

We report our methods and experiment results from the collaborative participation of the InfoLab group from University of Delaware and the school of Information Systems from Singapore Management University in the TREC 2009 Entity track. Our general goal is to study how we may apply language modeling approaches and natural language processing techniques to the task. Specically, we proposed to find supporting information based on segment retrieval, to extract entities using Stanford NER tagger, and to rank entities based on a previously proposed probabilistic framework for expert finding.

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Research Areas

Data Management and Analytics

Publication

Eighteenth Text REtrieval Conference: (TREC 2009) Proceedings: 17-20 November, Gaithersburg, MD

First Page

1

Last Page

9

Publisher

National Institute of Standards and Technology

City or Country

Washington, DC

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://trec.nist.gov/pubs/trec18/papers/udelaware-fang.ENT.pdf

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