Conference Proceeding Article
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.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
Eighteenth Text REtrieval Conference: (TREC 2009) Proceedings: 17-20 November, Gaithersburg, MD
National Institute of Standards and Technology
City or Country
ZHENG, Wei; GOTTIPATI, Swapna; JIANG, Jing; and FANG, Hui.
UDEL/SMU at TREC 2009 Entity Track. (2009). Eighteenth Text REtrieval Conference: (TREC 2009) Proceedings: 17-20 November, Gaithersburg, MD. 1-9. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/496
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