York University at TREC 2005: Genomics Track

UB at TREC 13: Genomics Track

This paper describes the experiments of the State University of New York at Buffalo in TREC 13. We participated in the Genomics track and submitted official runs to the Adhoc retrieval task. Our approach uses a language model IR system developed in house. We also present unofficial results for the triage sub-task of categorization task.

York University at TREC 2006: Genomics Track

Our Genomics experiments mainly focus on addressing four problems in biomedical information retrieval. The four problems are: (1) how to deal with synonyms? (2) how to deal with the frequent use of acronyms? (3) how to deal with homonyms? (4) how to deal with the document-level retrieval, passagelevel retrieval and aspect-level retrieval? In particular, we use the automatic query expansion algo...

York University at TREC 2004: HARD and Genomics Tracks

York University participated in HARD and Genomics tracks this year. For both tracks, we used Okapi BSS (basic search system) as the basis. Our experiments mainly focused on exploiting various methods for combining document and passage scores, new term weighting formulae and feedback methods for query expansion. For HARD track, we built two levels of indexes, and search against both indexes for ...

York University at TREC 2005: Terabyte Track

York University participated in the terabyte track this year. Using the GOV2 collection, we used filtering techniques to shorten the amount of data to be indexed before indexing into eight partitions. As there were several different subsections of the terabyte track, we chose to participate in the ad hoc and named page retrieval runs. Our technique involved partitioned indexes across a single m...

CSUSM at TREC 2005: Genomics and Enterprise Track