메뉴 건너뛰기




Volumn 2, Issue 1, 2013, Pages 1-12

Biomedical Named Entity extraction: Some issues of corpus compatibilities

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84891401477     PISSN: None     EISSN: 21931801     Source Type: Journal    
DOI: 10.1186/2193-1801-2-601     Document Type: Article
Times cited : (12)

References (36)
  • 1
    • 55749098965 scopus 로고    scopus 로고
    • A simulated annealing based multi-objective optimization algorithm: AMOSA
    • Bandyopadhyay S., Saha S, Maulik U, Deb K (2008) A simulated annealing based multi-objective optimization algorithm: AMOSA. IEEE Trans Evol Comput 12(3):269-283
    • (2008) IEEE Trans Evol Comput , vol.12 , Issue.3 , pp. 269-283
    • Bandyopadhyay, S.1    Saha, S.2    Maulik, U.3    Deb, K.4
  • 3
    • 0003332498 scopus 로고    scopus 로고
    • TnT A Statistical Part-of-Speech Tagger
    • In: (ANLP-2000). Association for Computational Linguistics, Stroudsburg, PA, USA
    • Brants T (2000) TnT A Statistical Part-of-Speech Tagger. In: Proceedings of the Sixth Applied Natural Language Processing Conference (ANLP-2000). Association for Computational Linguistics, Stroudsburg, PA, USA, pp 224-231
    • (2000) Proceedings of the Sixth Applied Natural Language Processing Conference , pp. 224-231
    • Brants, T.1
  • 4
    • 16244423656 scopus 로고    scopus 로고
    • Comparative experiments on learning information extractors for proteins and their information extractors for proteins and their interactions
    • (February 2005)
    • Buescu R., Ge R, Kate R, Marcotte E, Mooney R, Ramani A, Wong Y (2005) Comparative experiments on learning information extractors for proteins and their information extractors for proteins and their interactions. Artif Intell, Med 33(2)(February 2005) 139-155
    • (2005) Artif Intell, Med , vol.33 , Issue.2 , pp. 139-155
    • Buescu, R.1    Ge, R.2    Kate, R.3    Marcotte, E.4    Mooney, R.5    Ramani, A.6    Wong, Y.7
  • 5
    • 79952573053 scopus 로고    scopus 로고
    • Classifier ensemble selection using genetic algorithm for named entity recognition
    • Ekbal A., Saha S (2010) Classifier ensemble selection using genetic algorithm for named entity recognition. Res Lang Comput 8:73-99
    • (2010) Res Lang Comput , vol.8 , pp. 73-99
    • Ekbal, A.1    Saha, S.2
  • 6
    • 77955449377 scopus 로고    scopus 로고
    • Weighted vote based classifier ensemble selection using genetic algorithm for named entity recognition
    • In: (NLDB 2010). Springer-Verlag, Berlin, Heidelberg
    • Ekbal A., Saha S (2010) Weighted vote based classifier ensemble selection using genetic algorithm for named entity recognition. In: 15th International Conference on Applications of Natural Language to Information Systems (NLDB 2010). Springer-Verlag, Berlin, Heidelberg, pp 256-267
    • (2010) 15th International Conference on Applications of Natural Language to Information Systems , pp. 256-267
    • Ekbal, A.1    Saha, S.2
  • 7
    • 80052037775 scopus 로고    scopus 로고
    • A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies
    • Ekbal A., Saha S (2011) A multiobjective simulated annealing approach for classifier ensemble: Named entity recognition in Indian languages as case studies. Expert Syst Appl 38(12):14760-14772
    • (2011) Expert Syst Appl , vol.38 , Issue.12 , pp. 14760-14772
    • Ekbal, A.1    Saha, S.2
  • 8
    • 79960832442 scopus 로고    scopus 로고
    • Weighted vote-based classifier ensemble for named entity recognition: A genetic algorithm-based approach
    • Ekbal A., Saha S (2011) Weighted vote-based classifier ensemble for named entity recognition: a genetic algorithm-based approach. ACM Trans Asian Lang Inf Process 10(2):9
    • (2011) ACM Trans Asian Lang Inf Process , vol.10 , Issue.2 , pp. 9
    • Ekbal, A.1    Saha, S.2
  • 9
    • 84861647325 scopus 로고    scopus 로고
    • Multiobjective optimization for classifier ensemble and feature selection: An application to named entity recognition
    • Ekbal A., Saha S (2012) Multiobjective optimization for classifier ensemble and feature selection: an application to named entity recognition. IJDAR 15(2): 143-166
    • (2012) IJDAR , vol.15 , Issue.2 , pp. 143-166
    • Ekbal, A.1    Saha, S.2
  • 17
    • 68649115793 scopus 로고    scopus 로고
    • A realistic assessment of methods for extracting gene/protein interactions from free text
    • Kabiljo R., Clegg AB, Shepherd AJ (2009) A realistic assessment of methods for extracting gene/protein interactions from free text. BMC Bioinformatics 10:233
    • (2009) BMC Bioinformatics , vol.10 , pp. 233
    • Kabiljo, R.1    Clegg, A.B.2    Shepherd, A.J.3
  • 18
    • 33645960399 scopus 로고    scopus 로고
    • Two-phase biomedical named entity recognition using a hybrid method
    • In: Springer, Berlin, Heidelberg
    • Kim S., Yoon J, Park KM, Rim HC (2005) Two-phase biomedical named entity recognition using a hybrid method. In: IJCNLP. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, pp 646-657
    • (2005) IJCNLP. Lecture Notes in Computer Science. , pp. 646-657
    • Kim, S.1    Yoon, J.2    Park, K.M.3    Rim, H.C.4
  • 19
    • 33947313027 scopus 로고    scopus 로고
    • BioCreAtIvE Task1A: Entity identification with a stochastic tagger
    • doi:10.1186/1471-2105-6-S1-S4
    • Kinoshita S., Cohen KB, Ogren PV, Hunter L (2005) BioCreAtIvE Task1A: entity identification with a stochastic tagger. BMC Bioinformatics 6(Suppl 1):S4. doi:10.1186/1471-2105-6-S1-S4
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • Kinoshita, S.1    Cohen, K.B.2    Ogren, P.V.3    Hunter, L.4
  • 20
    • 40549140499 scopus 로고    scopus 로고
    • BANNER: An executable survey of advances in biomedical named entity recognition
    • In: World Scientific
    • Leaman R., Gonzalez G (2008) BANNER: an executable survey of advances in biomedical named entity recognition. In: Proceedings of the Pacific Symposium on Biocomputing. World Scientific, pp 652-663
    • (2008) Proceedings of the Pacific Symposium on Biocomputing. , pp. 652-663
    • Leaman, R.1    Gonzalez, G.2
  • 21
    • 33947305118 scopus 로고    scopus 로고
    • Identifying gene and protein mentions in text using conditional random fields
    • McDonald R, Pereira F (2005) Identifying gene and protein mentions in text using conditional random fields. BMC Bioinformatics 6(Suppl 1):S6
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • McDonald, R.1    Pereira, F.2
  • 22
    • 30744457935 scopus 로고    scopus 로고
    • Gene/protein name recognition based on support vector machine using dictionary as features
    • Mitsumori T., Fation S, Murata M, Doi K, Doi H (2005) Gene/protein name recognition based on support vector machine using dictionary as features. BMC Bioinformatics 6(Suppl 1):S8
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • Mitsumori, T.1    Fation, S.2    Murata, M.3    Doi, K.4    Doi, H.5
  • 25
    • 38149007266 scopus 로고    scopus 로고
    • Biomedical named entity recognition: A poor knowledge HMM-based approach
    • In: Springer, Berlin, Heidelberg
    • Ponomareva N., Pla F, Molina A, Rosso P (2007) Biomedical named entity recognition: a poor knowledge HMM-based approach. In: NLDB. Lecture Notes in Computer Science, Springer, Berlin, Heidelberg, pp 382-387
    • (2007) NLDB. Lecture Notes in Computer Science , pp. 382-387
    • Ponomareva, N.1    Pla, F.2    Molina, A.3    Rosso, P.4
  • 26
    • 70349452071 scopus 로고    scopus 로고
    • Feature selection techniques for maximum entropy based biomedical named entity recognition
    • Saha S.K., Sarkar S, Mitra P (2009) Feature selection techniques for maximum entropy based biomedical named entity recognition. J Biomed Informatics 42(5):905-911
    • (2009) J Biomed Informatics , vol.42 , Issue.5 , pp. 905-911
    • Saha, S.K.1    Sarkar, S.2    Mitra, P.3
  • 28
    • 84891413093 scopus 로고    scopus 로고
    • Named entity recognition and classification in biomedical text using classifier ensemble
    • (accepted)
    • Saha S., Ekbal A, Sikdar UK (2013) Named entity recognition and classification in biomedical text using classifier ensemble. Int J Data Min Bioinform. (accepted)
    • (2013) Int J Data Min Bioinform.
    • Saha, S.1    Ekbal, A.2    Sikdar, U.K.3
  • 32
    • 0028409149 scopus 로고
    • Adaptive probabilities of crossover and mutation in genetic algorithms
    • In
    • Srinivas M., Patnaik LM (1994) Adaptive probabilities of crossover and mutation in genetic algorithms. In: IEEE Trans Syst Man Cybernatics, pp 656-667
    • (1994) IEEE Trans Syst Man Cybernatics , pp. 656-667
    • Srinivas, M.1    Patnaik, L.M.2
  • 34
    • 72249102749 scopus 로고    scopus 로고
    • Biomedical named entity recognition based on classifiers ensemble
    • Wang H., Zhao T, Tan H, Zhang S (2008) Biomedical named entity recognition based on classifiers ensemble. Int J Comp Sci Appli 5:1-11
    • (2008) Int J Comp Sci Appli , vol.5 , pp. 1-11
    • Wang, H.1    Zhao, T.2    Tan, H.3    Zhang, S.4
  • 35
    • 67650539034 scopus 로고    scopus 로고
    • Investigating heterogenous protein annotations toward cross-corpora utilization
    • Wang Y., Kim JD, Saetre R, Pyysalo S, Tsujii J (2009) Investigating heterogenous protein annotations toward cross-corpora utilization. BMC Bioinformatics 10:1-15
    • (2009) BMC Bioinformatics , vol.10 , pp. 1-15
    • Wang, Y.1    Kim, J.D.2    Saetre, R.3    Pyysalo, S.4    Tsujii, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.