NTU at TREC 2006 genomics track

Kevin Hsin Yih Lin; Wen Juan Hou; Hsin Hsi Chen

NTU at TREC 2006 genomics track

Kevin Hsin Yih Lin^*, Wen Juan Hou, Hsin Hsi Chen

^*此作品的通信作者

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

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
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)

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@article{9334a0fbebf34c4dbcdd5265f35c74bd,

title = "NTU at TREC 2006 genomics track",

abstract = "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.",

author = "Lin, {Kevin Hsin Yih} and Hou, {Wen Juan} and Chen, {Hsin Hsi}",

year = "2006",

language = "English",

journal = "NIST Special Publication",

issn = "1048-776X",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "15th Text REtrieval Conference, TREC 2006 ; Conference date: 14-11-2006 Through 17-11-2006",

}

TY - JOUR

T1 - NTU at TREC 2006 genomics track

AU - Lin, Kevin Hsin Yih

AU - Hou, Wen Juan

AU - Chen, Hsin Hsi

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84873563209&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84873563209&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84873563209

SN - 1048-776X

JO - NIST Special Publication

JF - NIST Special Publication

T2 - 15th Text REtrieval Conference, TREC 2006

Y2 - 14 November 2006 through 17 November 2006

ER -

NTU at TREC 2006 genomics track

摘要

ASJC Scopus subject areas

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