메뉴 건너뛰기




Volumn 10, Issue , 2009, Pages

Linguistic feature analysis for protein interaction extraction

Author keywords

[No Author keywords available]

Indexed keywords

GRAMMATICAL RELATIONS; INTERACTION EXTRACTION; LEXICAL FEATURES; LINGUISTIC FEATURES; PROTEIN INTERACTION; SYNTACTIC FEATURES; SYNTACTIC INFORMATION; TRAINING CORPUS;

EID: 75549087829     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-374     Document Type: Article
Times cited : (13)

References (28)
  • 2
    • 84864058992 scopus 로고    scopus 로고
    • Subsequence Kernels for Relation Extraction
    • Bunescu RC, Mooney RJ. Subsequence Kernels for Relation Extraction. NIPS 2005, , http://www.cs.utexas.edu/users/ml/papers/erk-nips-05.pdf
    • (2005) NIPS
    • Bunescu, R.C.1    Mooney, R.J.2
  • 3
    • 33847294345 scopus 로고    scopus 로고
    • RelEx - relation extraction using dependency parse trees
    • Fundel K, Küffner R, Zimmer R. RelEx - relation extraction using dependency parse trees. Bioinformatics 2007, 23(3):365-371.
    • (2007) Bioinformatics , vol.23 , Issue.3 , pp. 365-371
    • Fundel, K.1    Küffner, R.2    Zimmer, R.3
  • 6
    • 37549050918 scopus 로고    scopus 로고
    • Kernel approaches for genic interaction extraction
    • Kim S, Yoon J, Yang J. Kernel approaches for genic interaction extraction. Bioinformatics 2008, 24:118-126.
    • (2008) Bioinformatics , vol.24 , pp. 118-126
    • Kim, S.1    Yoon, J.2    Yang, J.3
  • 15
    • 47249100727 scopus 로고    scopus 로고
    • DEEPER: A Full Parsing Based Approach to Protein Relation Extraction
    • Springer, Marchiori E, Moore JH
    • Fayruzov T, De Cock M, Cornelis C, Hoste V. DEEPER: A Full Parsing Based Approach to Protein Relation Extraction. EvoBIO, of Lecture Notes in Computer Science 2008, 4973:36-47. Springer, Marchiori E, Moore JH.
    • (2008) EvoBIO, of Lecture Notes in Computer Science , vol.4973 , pp. 36-47
    • Fayruzov, T.1    De Cock, M.2    Cornelis, C.3    Hoste, V.4
  • 16
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • Saeys Y, Inza I, Larrañaga P. A review of feature selection techniques in bioinformatics. Bioinformatics 2007, 23(19):2507-2517.
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larrañaga, P.3
  • 17
    • 34547683741 scopus 로고    scopus 로고
    • PubMiner: Machine Learning-based Text Mining for Biomedical Information Analysis
    • Eom JH, Zhang BT. PubMiner: Machine Learning-based Text Mining for Biomedical Information Analysis. Genomics & Informatics 2004, 2(2):99-106.
    • (2004) Genomics & Informatics , vol.2 , Issue.2 , pp. 99-106
    • Eom, J.H.1    Zhang, B.T.2
  • 18
    • 34249753618 scopus 로고
    • Support-Vector Networks
    • Cortes C, Vapnik V. Support-Vector Networks. Machine Learning 1995, 20(3):273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 20
    • 1942419006 scopus 로고    scopus 로고
    • Convolution Kernels for Natural Language
    • MIT Press, Dietterich TG, Becker S, Ghahramani Z
    • Collins M, Duffy N. Convolution Kernels for Natural Language. Advances in Neural Information Processing Systems 14 2001, 625-632. MIT Press, Dietterich TG, Becker S, Ghahramani Z.
    • (2001) Advances in Neural Information Processing Systems 14 , pp. 625-632
    • Collins, M.1    Duffy, N.2
  • 22
    • 0004019973 scopus 로고    scopus 로고
    • Convolution Kernels on Discrete Structures. Technical Report UCS-CRL-99-10
    • UC Santa Cruz
    • Haussler D. Convolution Kernels on Discrete Structures. Technical Report UCS-CRL-99-10. Tech rep 1999, UC Santa Cruz.
    • (1999) Tech rep
    • Haussler, D.1
  • 23
    • 34547975798 scopus 로고    scopus 로고
    • Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees
    • Springer, Berlin
    • Moschitti A. Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees. ECML 2006, Springer, Berlin.
    • (2006) ECML
    • Moschitti, A.1
  • 24
    • 70349229767 scopus 로고    scopus 로고
    • The role of syntactic features in protein interaction extraction
    • Fayruzov T, Cock MD, Cornelis C, Hoste V. The role of syntactic features in protein interaction extraction. DTMBIO 2008, 61-68.
    • (2008) DTMBIO , pp. 61-68
    • Fayruzov, T.1    Cock, M.D.2    Cornelis, C.3    Hoste, V.4
  • 25
    • 76649087495 scopus 로고    scopus 로고
    • The Stanford Parser: A statistical parser
    • The Stanford Parser: A statistical parser. , http://nlp.stanford.edu/software/lex-parser.shtml
  • 26
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • Porter MF. An algorithm for suffix stripping. Program 1980, 14(3):130-137.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.