Abstract
We applied concept recognition techniques to the Genomics track primary and secondary tasks. For the primary task, we developed a foundational information retrieval system which incorporated Entrez Gene entries and UMLS concepts for query expansion via phrasal and term boosting representations of synonyms. For the secondary task, we evaluated three conceptual features-mouse strain names, indexed MeSH terms, and normalized citations-in addition to two surface linguistic features-BOW and bigrams. Our final feature set yielded consistently high F-measures.
| Original language | English (US) |
|---|---|
| Journal | NIST Special Publication |
| State | Published - 2005 |
| Event | 14th Text REtrieval Conference, TREC 2005 - Gaithersburg, MD, United States Duration: Nov 15 2005 → Nov 18 2005 |
ASJC Scopus subject areas
- General Engineering
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