摘要
In this paper, we present a system for information retrieval of biomedical texts at passage level. Our system used KL-divergence as the underlying retrieval model. We further added query expansion and performed post-processing on the results. We were able to obtain a Document MAP of 0.3563, Passage MAP of 0.0464 and Aspect MAP of 0.2255 on one of the three runs.
原文 | 英語 |
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期刊 | NIST Special Publication |
出版狀態 | 已發佈 - 2006 |
對外發佈 | 是 |
事件 | 15th Text REtrieval Conference, TREC 2006 - Gaithersburg, MD, 美国 持續時間: 2006 11月 14 → 2006 11月 17 |
ASJC Scopus subject areas
- 工程 (全部)