Learning Domain-Specific Knowledge from Context--THUIR at TREC 2005 Genomics Track

Experiment Report of TREC 2005 Genomics Track ad hoc Retrieval Task

This report describes the experiments we have conducted on the ad hoc retrieval task of Genomics track at TREC 2005. In the experiment, a number of different techniques were employed, including Porter stemming, MeSH term and gene name identification, Okapi, weighting schemes, query expansion, and concept-based ranking strategy. The results on sample topics are reported. Future improvements, suc...

Symbol-Based Query Expansion Experiments at TREC 2005 Genomics Track

This paper illustrates the activity conducted at the TREC 2005 evaluation campaign in the ad-hoc task of the Genomics track. The retrieval effectiveness of a relevance feedback query expansion algorithm, which is based on symbols, is studied. The experimental results suggest that query expansion based on implicit relevance feedback is not always an effective means for improving effectiveness in...

Finding "Abstract Fields" of Web Pages and Query Specific Retrieval - THUIR at TREC 2004 Web Track

THUIR at TREC 2004: Genomics Track

This is the first time that THUIR participates in TREC Genomics Track. We took part in both Ad hoc retrieval task and Categorization task. Based on our retrieval system TMiner, our research in the Ad hoc retrieval task focuses on: (1) Category of organism retrieval strategy; (2) Primary Feature Model; (3) Query Expansion (QE) technology; (4) Result fusion method. Five official runs have been su...

TREC 2005 Genomics Track Experiments at IBM Watson

This paper describes our experiments in the TREC 2005 Genomics Track. For the ad-hoc retrieval task, we study synonym-based query expansion, as well as the effectiveness of a new pseudo-relevance feedback method which is derived from our recent work on semi-supervised learning. For the categorization task, we study various methods for estimating conditional class probability and determining the...