TREC 2005 genomics track experiments at IBM watson

Rie Kubota Ando; Mark Dredze; Tong Zhang

TREC 2005 genomics track experiments at IBM watson

Rie Kubota Ando, Mark Dredze, Tong Zhang

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

Abstract

This paper describes our experiments in the TREC 2005 Genomics Track. For the ad-hoc retrieval task, we study synonym-based query expan-sion, as well as the effectiveness of a new pseudo-relevance feedback method which is derived from our recent work on semi-supervised learning. For t le categorization task, we study various methods for estimating conditional class probability and determining the optimal threshold parameter essential for obtaining high performance results for this task.

Original language	English (US)
Journal	NIST Special Publication
State	Published - 2005
Externally published	Yes
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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title = "TREC 2005 genomics track experiments at IBM watson",

abstract = "This paper describes our experiments in the TREC 2005 Genomics Track. For the ad-hoc retrieval task, we study synonym-based query expan-sion, as well as the effectiveness of a new pseudo-relevance feedback method which is derived from our recent work on semi-supervised learning. For t le categorization task, we study various methods for estimating conditional class probability and determining the optimal threshold parameter essential for obtaining high performance results for this task.",

author = "Ando, {Rie Kubota} and Mark Dredze and Tong Zhang",

year = "2005",

language = "English (US)",

journal = "NIST Special Publication",

issn = "1048-776X",

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

note = "14th Text REtrieval Conference, TREC 2005 ; Conference date: 15-11-2005 Through 18-11-2005",

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T1 - TREC 2005 genomics track experiments at IBM watson

AU - Ando, Rie Kubota

AU - Dredze, Mark

AU - Zhang, Tong

PY - 2005

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N2 - This paper describes our experiments in the TREC 2005 Genomics Track. For the ad-hoc retrieval task, we study synonym-based query expan-sion, as well as the effectiveness of a new pseudo-relevance feedback method which is derived from our recent work on semi-supervised learning. For t le categorization task, we study various methods for estimating conditional class probability and determining the optimal threshold parameter essential for obtaining high performance results for this task.

AB - This paper describes our experiments in the TREC 2005 Genomics Track. For the ad-hoc retrieval task, we study synonym-based query expan-sion, as well as the effectiveness of a new pseudo-relevance feedback method which is derived from our recent work on semi-supervised learning. For t le categorization task, we study various methods for estimating conditional class probability and determining the optimal threshold parameter essential for obtaining high performance results for this task.

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M3 - Conference article

AN - SCOPUS:84873533242

SN - 1048-776X

JO - NIST Special Publication

JF - NIST Special Publication

T2 - 14th Text REtrieval Conference, TREC 2005

Y2 - 15 November 2005 through 18 November 2005

ER -

TREC 2005 genomics track experiments at IBM watson

Abstract

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