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Volumn , Issue , 2009, Pages 59-66

Learning word sense disambiguation in biomedical text with difference between training and test distributions

Author keywords

Biotext classification; Covariate shift; Distribution change; Kernel method; Machine learning

Indexed keywords

BIO-MEDICAL; BIOMEDICAL TEXT; COVARIATES; KERNEL METHODS; LEXICAL FEATURES; MACHINE-LEARNING; ON-MACHINES; TEST DATA; TEXT MINING; TRAINING EXAMPLE; TRAINING PHASE; WORD-SENSE DISAMBIGUATION;

EID: 74049111900     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1651318.1651330     Document Type: Conference Paper
Times cited : (3)

References (30)
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    • Duan, W.1    Song, M.2    Yates, A.3
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    • R. Florian, H. Hassan, A. Ittycheriah, H. Jing, N. Kambhatla, X. Luo, N. Nicolov, and S. Roukos: A Statistical Model for Multilingual Entity Detection and Tracking: In Proceedings of Human Language Technology and North American Chapter of the Association for Computational Linguistics Annual Meeting, 1-8, 2004.
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    • T. Pahikkala, S. Pyysalo, F. Ginter, J. Boberg, J. Jarvinen, and T. Salakoski: Kernels Incorporating Word Positional Information in Natural Language Disambiguation Tasks: In Proceedings of FLAIRS, 2005.
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    • Improving Predictive Inference Under Covariate Shift by Weighting the Log-Likelihood Function
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    • Shimodaira, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.