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

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Journal	NIST Special Publication
Publication status	Published - 2006 Dec 1
Event	15th Text REtrieval Conference, TREC 2006 - Gaithersburg, MD, United States Duration: 2006 Nov 14 → 2006 Nov 17

ASJC Scopus subject areas

Engineering(all)

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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",

month = dec,

day = "1",

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",

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T1 - NTU at TREC 2006 genomics track

AU - Lin, Kevin Hsin Yih

AU - Hou, Wen Juan

AU - Chen, Hsin Hsi

PY - 2006/12/1

Y1 - 2006/12/1

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.

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M3 - Conference article

AN - SCOPUS:84873563209

JO - NIST Special Publication

JF - NIST Special Publication

SN - 1048-776X

T2 - 15th Text REtrieval Conference, TREC 2006

Y2 - 14 November 2006 through 17 November 2006

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