TREC 2006 Genomics Track Overview Export

@inproceedings{trec_overview_2006, abstract = {The TREC Genomics Track implemented a new task in 2006 that focused on passage retrieval for question answering using full-text documents from the biomedical literature. A test collection of 162,259 full-text documents and 28 topics expressed as questions was assembled. Systems were required to return passages that contained answers to the questions. Relevance judges determined the relevance of passages and grouped them into aspects identified by one or more Medical Subject Headings (MeSH) terms. Document relevance was defined by the presence of one or more relevant aspects. The performance of submitted runs was scored using mean average precision (MAP) at the passage, aspect, and document level. In general, passage MAP was low, while aspect and document MAP were somewhat higher.}, author = {Hersh, William and Cohen, Aaron M. and Roberts, Phoebe and Rekapalli, Hari K.}, booktitle = {TREC Notebook}, citeulike-article-id = {972764}, keywords = {biomedical, data-mining, nlp}, organization = {NIST}, posted-at = {2006-12-04 04:52:51}, priority = {0}, title = {TREC 2006 Genomics Track Overview}, year = {2006} }

TY - CONF ID - trec_overview_2006 L3 - citeulike-article-id:972764 N2 - The TREC Genomics Track implemented a new task in 2006 that focused on passage retrieval for question answering using full-text documents from the biomedical literature. A test collection of 162,259 full-text documents and 28 topics expressed as questions was assembled. Systems were required to return passages that contained answers to the questions. Relevance judges determined the relevance of passages and grouped them into aspects identified by one or more Medical Subject Headings (MeSH) terms. Document relevance was defined by the presence of one or more relevant aspects. The performance of submitted runs was scored using mean average precision (MAP) at the passage, aspect, and document level. In general, passage MAP was low, while aspect and document MAP were somewhat higher. OR - NIST TI - TREC 2006 Genomics Track Overview T2 - TREC Notebook KW - biomedical KW - data-mining KW - nlp AU - Hersh, William AU - Cohen, Aaron AU - Roberts, Phoebe AU - Rekapalli, Hari PY - 2006/// ER -