UIUC/MUSC at TREC 2005 genomics track

Cheng Xiang Zhai, Xinghua Lu, Xu Ling, Xin He, Atulya Velivelli, Xuanhui Wang, Hui Fang, Azadeh Shakery

Research output: Contribution to journalConference articlepeer-review


We report experiment results from the collaborative participation of UIUC and MUSC in the TREC 2005 Genomics Track. We participated in both the adhoc task and the categorization task, and studied the use of some mixture language models in these tasks. Experiment results show that a structured theme-based language modeling approach is effective in improving retrieval effectiveness for the ad hoc taks and the Latent Dirichlet Allocation method is effective in dimension reduction for the categorization task.

Original languageEnglish (US)
JournalNIST Special Publication
StatePublished - 2005
Event14th Text REtrieval Conference, TREC 2005 - Gaithersburg, MD, United States
Duration: Nov 15 2005Nov 18 2005

ASJC Scopus subject areas

  • General Engineering


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