Abstract

The BioText project team participated in both tasks of the TREC 2003 genomics track. Key to our approach in the primary task was the use of an organism-name recognition module, a module for recognizing gene name variants, and MeSH descriptors. Text classification improved the results slightly. In the secondary task, the key insight was casting it as a classification problem of choosing between the title and the last sentence of the abstract, although MeSH descriptors helped somewhat in this task as well. These approaches yielded results within the top three groups in both tasks.

Citations