메뉴 건너뛰기




Volumn , Issue , 2009, Pages 185-191

Feature subset selection in Conditional Random Fields for named entity recognition

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION FILTERING; ITERATIVE METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS; RANDOM PROCESSES;

EID: 83755226314     PISSN: 13138502     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (25)
  • 1
    • 0002652285 scopus 로고    scopus 로고
    • A maximum entropy approach to natural language processing
    • A. L. Berger, S. D. Pietra, and V. J. D. Pietra. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, 22(1):39-71, 1996.
    • (1996) Computational Linguistics , vol.22 , Issue.1 , pp. 39-71
    • Berger, A.L.1    Pietra, S.D.2    Pietra, V.J.D.3
  • 5
    • 46249123634 scopus 로고    scopus 로고
    • Integrating high dimensional bi-directional parsing models for gene mention tagging
    • Jul
    • C.-N. Hsu, Y.-M. Chang, C.-J. Kuo, Y.-S. Lin, H.-S. Huang, and I.-F. Chung. Integrating high dimensional bi-directional parsing models for gene mention tagging. Bioinformatics, 24(13):i286-i294, Jul 2008.
    • (2008) Bioinformatics , vol.24 , Issue.13
    • Hsu, C.-N.1    Chang, Y.-M.2    Kuo, C.-J.3    Lin, Y.-S.4    Huang, H.-S.5    Chung, I.-F.6
  • 7
    • 34547688865 scopus 로고    scopus 로고
    • An interior-point method for large-scale l1-regularized logistic regression
    • K. Koh, S.-J. Kim, and S. Boyd. An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression. Journal of Machine Learning Research, 8:1519-1555, 2007.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1519-1555
    • Koh, K.1    Kim, S.-J.2    Boyd, S.3
  • 13
    • 33947305118 scopus 로고    scopus 로고
    • Identifying gene and protein mentions in text using conditional random fields
    • R. McDonald and F. Pereira. Identifying Gene and Protein Mentions in Text Using Conditional Random Fields. BMC Bioinformatics, 6 Suppl 1:S6, 2005.
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • McDonald, R.1    Pereira, F.2
  • 14
    • 84966262179 scopus 로고
    • Updating quasi-newton matrices with limited storage
    • July
    • J. Nocedal. Updating Quasi-Newton Matrices with Limited Storage. Mathematics of Computation, 35(151):773-782, July 1980.
    • (1980) Mathematics of Computation , vol.35 , Issue.151 , pp. 773-782
    • Nocedal, J.1
  • 16
    • 0006354851 scopus 로고
    • Karl pearson and the chi-squared test
    • R. L. Plackett. Karl Pearson and the Chi-Squared Test. International Statistical Review, 51(1):59-72, 1983.
    • (1983) International Statistical Review , vol.51 , Issue.1 , pp. 59-72
    • Plackett, R.L.1
  • 17
    • 33744584654 scopus 로고
    • Induction of decision trees
    • J. R. Quinlan. Induction of Decision Trees. Machine Learning, 1:81-106, 1986.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 19
    • 85099019865 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition
    • W. Daelemans and M. Osborne, editors. Edmonton, Canada
    • E. F. T. K. Sang and F. De Meulder. Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition. In W. Daelemans and M. Osborne, editors, Proc. of CoNLL-2003, pages 142-147. Edmonton, Canada, 2003.
    • (2003) Proc. of CoNLL-2003 , pp. 142-147
    • Sang, E.F.T.K.1    De Meulder, F.2
  • 20
    • 25144520247 scopus 로고    scopus 로고
    • ABNER: An open source tool for automatically tagging genes, proteins and other entity names in text
    • B. Settles. ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text. Bioinformatics, 21(14):3191-3192, 2005.
    • (2005) Bioinformatics , vol.21 , Issue.14 , pp. 3191-3192
    • Settles, B.1
  • 22
    • 84856105124 scopus 로고    scopus 로고
    • PhD thesis, Computer Science Department, Carnegie Mellon University, Pittsburgh, USA
    • D. L. Vail. Conditional Random Fields for Activity Recognition. PhD thesis, Computer Science Department, Carnegie Mellon University, Pittsburgh, USA, 2008.
    • (2008) Conditional Random Fields for Activity Recognition
    • Vail, D.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.