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Volumn 7, Issue , 2015, Pages

Recognition of chemical entities: Combining dictionary-based and grammar-based approaches

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EID: 84946138395     PISSN: None     EISSN: 17582946     Source Type: Journal    
DOI: 10.1186/1758-2946-7-S1-S10     Document Type: Article
Times cited : (35)

References (55)
  • 2
    • 84901001907 scopus 로고    scopus 로고
    • Chemical named entities recognition: A review on approaches and applications
    • Eltyeb S, Salim N: Chemical named entities recognition: a review on approaches and applications. J Cheminf 2014, 6:1-12.
    • (2014) J Cheminf , vol.6 , pp. 1-12
    • Eltyeb, S.1    Salim, N.2
  • 3
    • 79960604459 scopus 로고    scopus 로고
    • Text mining for drugs and chemical compounds: Methods, tools and applications
    • Vazquez Miguel, Krallinger Martin, Leitner Florian, Valencia A: Text Mining for Drugs and Chemical Compounds: Methods, Tools and Applications. Mol Inform 2011, 30(6-7):506-519.
    • (2011) Mol Inform , vol.30 , Issue.6-7 , pp. 506-519
    • Miguel, V.1    Martin, K.2    Florian, L.3    Valencia, A.4
  • 4
    • 84946225996 scopus 로고    scopus 로고
    • About IUPAC
    • About IUPAC. [http://www.iupac.org/home/about.html].
  • 5
    • 0023965741 scopus 로고
    • SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules
    • Weininger D: SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules. J Chem Inf Comput Sci 1988, 28:31-36.
    • (1988) J Chem Inf Comput Sci , vol.28 , pp. 31-36
    • Weininger, D.1
  • 6
    • 84872175954 scopus 로고    scopus 로고
    • Consistency of systematic chemical identifiers within and between small-molecule databases
    • Akhondi SA, Kors JA, Muresan S: Consistency of systematic chemical identifiers within and between small-molecule databases. J Cheminf 2012, 4:35.
    • (2012) J Cheminf , vol.4 , pp. 35
    • Akhondi, S.A.1    Kors, J.A.2    Muresan, S.3
  • 7
    • 84858040414 scopus 로고    scopus 로고
    • Improved chemical text mining of patents with infinite dictionaries and automatic spelling correction
    • Sayle R, Xie PH, Muresan S: Improved chemical text mining of patents with infinite dictionaries and automatic spelling correction. J Chem Inf Model 2012, 52:51-62.
    • (2012) J Chem Inf Model , vol.52 , pp. 51-62
    • Sayle, R.1    Xie, P.H.2    Muresan, S.3
  • 16
    • 84946143189 scopus 로고    scopus 로고
    • LeadMine: A grammar and dictionary driven approach to chemical entity recognition
    • Lowe DM, Sayle RA: LeadMine: A grammar and dictionary driven approach to chemical entity recognition. J Cheminform 2015, 7(Suppl 1):S5.
    • (2015) J Cheminform , vol.7 , pp. S5
    • Lowe, D.M.1    Sayle, R.A.2
  • 17
    • 84925619870 scopus 로고    scopus 로고
    • NCBI at the BioCreative IV CHEMDNER Task: Recognizing chemical names in PubMed articles with tmChem
    • Leaman R, Wei C-H, Lu Z: NCBI at the BioCreative IV CHEMDNER Task: Recognizing chemical names in PubMed articles with tmChem. J Cheminform 2015, 7(Suppl 1):S3.
    • (2015) J Cheminform , vol.7 , pp. S3
    • Leaman, R.1    Wei, C.-H.2    Lu, Z.3
  • 19
    • 0000747663 scopus 로고    scopus 로고
    • Maximum entropy markov models for information extraction and segmentation
    • McCallum A, Freitag D, Pereira FC: Maximum Entropy Markov Models for Information Extraction and Segmentation. ICML 2000, 591-598.
    • (2000) ICML , pp. 591-598
    • McCallum, A.1    Freitag, D.2    Pereira, F.C.3
  • 20
    • 84884469671 scopus 로고    scopus 로고
    • A modular framework for biomedical concept recognition
    • Campos D, Matos S, Oliveira JL: A modular framework for biomedical concept recognition. BMC Bioinformatics 2013, 14:281.
    • (2013) BMC Bioinformatics , vol.14 , pp. 281
    • Campos, D.1    Matos, S.2    Oliveira, J.L.3
  • 22
    • 84946218120 scopus 로고    scopus 로고
    • Peregrine. [https://trac.nbic.nl/data-mining].
  • 26
    • 78449296488 scopus 로고    scopus 로고
    • ChemSpider: An online chemical information resource
    • Pence HE, Williams A: ChemSpider: An Online Chemical Information Resource. J Chem Educ 2010, 87:1123-1124.
    • (2010) J Chem Educ , vol.87 , pp. 1123-1124
    • Pence, H.E.1    Williams, A.2
  • 27
    • 84946231511 scopus 로고    scopus 로고
    • Royal Society of CHEMISTRY. [http://www.rsc.org/].
  • 34
    • 79955428497 scopus 로고    scopus 로고
    • The NCGC pharmaceutical collection: A comprehensive resource of clinically approved drugs enabling repurposing and chemical genomics
    • Huang R, Southall N, Wang Y, Yasgar A, Shinn P, Jadhav A, Nguyen DT, Austin CP: The NCGC pharmaceutical collection: a comprehensive resource of clinically approved drugs enabling repurposing and chemical genomics. Sci Transl Med 2011, 3:80ps16.
    • (2011) Sci Transl Med , vol.3 , pp. 80ps16
    • Huang, R.1    Southall, N.2    Wang, Y.3    Yasgar, A.4    Shinn, P.5    Jadhav, A.6    Nguyen, D.T.7    Austin, C.P.8
  • 38
    • 82255175505 scopus 로고    scopus 로고
    • Making every SAR point count: The development of Chemistry Connect for the large-scale integration of structure and bioactivity data
    • Muresan S, Petrov P, Southan C, Kjellberg MJ, Kogej T, Tyrchan C, Varkonyi P, Xie PH: Making every SAR point count: the development of Chemistry Connect for the large-scale integration of structure and bioactivity data. Drug Discov Today 2011, 16:1019-1030.
    • (2011) Drug Discov Today , vol.16 , pp. 1019-1030
    • Muresan, S.1    Petrov, P.2    Southan, C.3    Kjellberg, M.J.4    Kogej, T.5    Tyrchan, C.6    Varkonyi, P.7    Xie, P.H.8
  • 39
    • 0345863927 scopus 로고    scopus 로고
    • The unified medical language system (UMLS): Integrating biomedical terminology
    • Bodenreider O: The Unified Medical Language System (UMLS): integrating biomedical terminology. Nucleic Acids Res 2004, 32:D267-270.
    • (2004) Nucleic Acids Res , vol.32 , pp. D267-270
    • Bodenreider, O.1
  • 40
    • 65649154008 scopus 로고    scopus 로고
    • The neighborhood auditing tool: A hybrid interface for auditing the UMLS
    • Morrey CP, Geller J, Halper M, Perl Y: The Neighborhood Auditing Tool: a hybrid interface for auditing the UMLS. J Biomed Inform 2009, 42:468-489.
    • (2009) J Biomed Inform , vol.42 , pp. 468-489
    • Morrey, C.P.1    Geller, J.2    Halper, M.3    Perl, Y.4
  • 41
    • 65649154390 scopus 로고    scopus 로고
    • A review of auditing methods applied to the content of controlled biomedical terminologies
    • Zhu X, Fan JW, Baorto DM, Weng C, Cimino JJ: A review of auditing methods applied to the content of controlled biomedical terminologies. J Biomed Inform 2009, 42:413-425.
    • (2009) J Biomed Inform , vol.42 , pp. 413-425
    • Zhu, X.1    Fan, J.W.2    Baorto, D.M.3    Weng, C.4    Cimino, J.J.5
  • 42
    • 84946208145 scopus 로고    scopus 로고
    • 100 English basic words. [http://en.wiktionary.org/wiki/Category:100-English-basic-words].
    • 100 English Basic Words
  • 43
    • 84946235811 scopus 로고    scopus 로고
    • PubMed Stopwords list. [http://www.nlm.nih.gov/bsd/disted/pubmedtutorial/020-170.html].
    • PubMed Stopwords List
  • 44
    • 84946209971 scopus 로고    scopus 로고
    • Apache OpenNLP library. [http://opennlp.apache.org/].
  • 45
    • 79952756879 scopus 로고    scopus 로고
    • Comparing and combining chunkers of biomedical text
    • Kang N, van Mulligen EM, Kors JA: Comparing and combining chunkers of biomedical text. J Biomed Inform 2011, 44:354-360.
    • (2011) J Biomed Inform , vol.44 , pp. 354-360
    • Kang, N.1    Van Mulligen, E.M.2    Kors, J.A.3
  • 51
    • 84882760954 scopus 로고    scopus 로고
    • Using rule-based natural language processing to improve disease normalization in biomedical text
    • Kang N, Singh B, Afzal Z, van Mulligen EM, Kors JA: Using rule-based natural language processing to improve disease normalization in biomedical text. J Am Med Inform 2013, 20:876.
    • (2013) J Am Med Inform , vol.20 , pp. 876
    • Kang, N.1    Singh, B.2    Afzal, Z.3    Van Mulligen, E.M.4    Kors, J.A.5
  • 52
    • 84925635743 scopus 로고    scopus 로고
    • CHEMDNER system with mixed conditional random fields and multi-scale word clustering
    • Lu Y, Yao X, Wei X, Ji D, Liang X: CHEMDNER system with mixed conditional random fields and multi-scale word clustering. J Cheminform 2015, 7(Suppl 1):S4.
    • (2015) J Cheminform , vol.7 , pp. S4
    • Lu, Y.1    Yao, X.2    Wei, X.3    Ji, D.4    Liang, X.5
  • 54
    • 84946205642 scopus 로고    scopus 로고
    • CheNER: A tool for the identification of chemical entities and their classes in biomedical literature
    • Usié A, Cruz J, Comas J, Solson F, Alves R: CheNER: a tool for the identification of chemical entities and their classes in biomedical literature. J Cheminform 2015, 7(Suppl 1):S15.
    • (2015) J Cheminform , vol.7 , pp. S15
    • Usié, A.1    Cruz, J.2    Comas, J.3    Solson, F.4    Alves, R.5
  • 55
    • 84946108674 scopus 로고    scopus 로고
    • Chemical entity extraction using CRF and an ensemble of extractors
    • Khabsa M, Giles CL: Chemical entity extraction using CRF and an ensemble of extractors. J Cheminform 2015, 7(Suppl 1):S12.
    • (2015) J Cheminform , vol.7 , pp. S12
    • Khabsa, M.1    Giles, C.L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.