Publication Type
Conference Paper
Version
submittedVersion
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 Science and Engineering
Publication
Text REtrieval Conference 18th TREC 2009, November 17-20, Gaithersburg, MD
First Page
1
Last Page
9
Publisher
National Institute of Standards and Technology
City or Country
Washington, DC
Citation
ZHENG, Wei; GOTTIPATI, Swapna; JIANG, Jing; and FANG, Hui.
UDEL/SMU at TREC 2009 Entity Track. (2009). Text REtrieval Conference 18th TREC 2009, November 17-20, Gaithersburg, MD. 1-9.
Available at: https://ink.library.smu.edu.sg/sis_research/496
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://trec.nist.gov/pubs/trec18/papers/udelaware-fang.ENT.pdf
Included in
Databases and Information Systems Commons, Numerical Analysis and Scientific Computing Commons