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Items: 1 to 20 of 74

1.

Monitoring named entity recognition: the League Table.

Rebholz-Schuhmann D, Kafkas S, Kim JH, Jimeno Yepes A, Lewin I.

J Biomed Semantics. 2013 Sep 13;4(1):19. doi: 10.1186/2041-1480-4-19.

2.

Assessment of disease named entity recognition on a corpus of annotated sentences.

Jimeno A, Jimenez-Ruiz E, Lee V, Gaudan S, Berlanga R, Rebholz-Schuhmann D.

BMC Bioinformatics. 2008 Apr 11;9 Suppl 3:S3. doi: 10.1186/1471-2105-9-S3-S3.

3.

Assessment of NER solutions against the first and second CALBC Silver Standard Corpus.

Rebholz-Schuhmann D, Jimeno Yepes A, Li C, Kafkas S, Lewin I, Kang N, Corbett P, Milward D, Buyko E, Beisswanger E, Hornbostel K, Kouznetsov A, Witte R, Laurila JB, Baker CJ, Kuo CJ, Clematide S, Rinaldi F, Farkas R, Móra G, Hara K, Furlong LI, Rautschka M, Neves ML, Pascual-Montano A, Wei Q, Collier N, Chowdhury MF, Lavelli A, Berlanga R, Morante R, Van Asch V, Daelemans W, Marina JL, van Mulligen E, Kors J, Hahn U.

J Biomed Semantics. 2011 Oct 6;2 Suppl 5:S11. doi: 10.1186/2041-1480-2-S5-S11.

4.

Harmonization of gene/protein annotations: towards a gold standard MEDLINE.

Campos D, Matos S, Lewin I, Oliveira JL, Rebholz-Schuhmann D.

Bioinformatics. 2012 May 1;28(9):1253-61. doi: 10.1093/bioinformatics/bts125. Epub 2012 Mar 13.

PMID:
22419783
5.

Boosting drug named entity recognition using an aggregate classifier.

Korkontzelos I, Piliouras D, Dowsey AW, Ananiadou S.

Artif Intell Med. 2015 Oct;65(2):145-53. doi: 10.1016/j.artmed.2015.05.007. Epub 2015 Jun 17.

6.

Optimising chemical named entity recognition with pre-processing analytics, knowledge-rich features and heuristics.

Batista-Navarro R, Rak R, Ananiadou S.

J Cheminform. 2015 Jan 19;7(Suppl 1 Text mining for chemistry and the CHEMDNER track):S6. doi: 10.1186/1758-2946-7-S1-S6. eCollection 2015.

7.

TaggerOne: joint named entity recognition and normalization with semi-Markov Models.

Leaman R, Lu Z.

Bioinformatics. 2016 Sep 15;32(18):2839-46. doi: 10.1093/bioinformatics/btw343. Epub 2016 Jun 9.

PMID:
27283952
8.

CALBC silver standard corpus.

Rebholz-Schuhmann D, Jimeno Yepes AJ, Van Mulligen EM, Kang N, Kors J, Milward D, Corbett P, Buyko E, Beisswanger E, Hahn U.

J Bioinform Comput Biol. 2010 Feb;8(1):163-79.

PMID:
20183881
9.

GENETAG: a tagged corpus for gene/protein named entity recognition.

Tanabe L, Xie N, Thom LH, Matten W, Wilbur WJ.

BMC Bioinformatics. 2005;6 Suppl 1:S3. Epub 2005 May 24.

10.

Evaluating gold standard corpora against gene/protein tagging solutions and lexical resources.

Rebholz-Schuhmann D, Kafkas S, Kim JH, Li C, Jimeno Yepes A, Hoehndorf R, Backofen R, Lewin I.

J Biomed Semantics. 2013 Oct 11;4(1):28. doi: 10.1186/2041-1480-4-28.

11.

PCorral--interactive mining of protein interactions from MEDLINE.

Li C, Jimeno-Yepes A, Arregui M, Kirsch H, Rebholz-Schuhmann D.

Database (Oxford). 2013 May 2;2013:bat030. doi: 10.1093/database/bat030. Print 2013.

12.

Recognizing chemicals in patents: a comparative analysis.

Habibi M, Wiegandt DL, Schmedding F, Leser U.

J Cheminform. 2016 Oct 28;8:59. eCollection 2016.

13.

Training text chunkers on a silver standard corpus: can silver replace gold?

Kang N, van Mulligen EM, Kors JA.

BMC Bioinformatics. 2012 Jan 30;13:17. doi: 10.1186/1471-2105-13-17.

14.

Various criteria in the evaluation of biomedical named entity recognition.

Tsai RT, Wu SH, Chou WC, Lin YC, He D, Hsiang J, Sung TY, Hsu WL.

BMC Bioinformatics. 2006 Feb 24;7:92.

15.

A modular framework for biomedical concept recognition.

Campos D, Matos S, Oliveira JL.

BMC Bioinformatics. 2013 Sep 24;14:281. doi: 10.1186/1471-2105-14-281.

16.

Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing.

Zhai H, Lingren T, Deleger L, Li Q, Kaiser M, Stoutenborough L, Solti I.

J Med Internet Res. 2013 Apr 2;15(4):e73. doi: 10.2196/jmir.2426.

17.

Measuring prediction capacity of individual verbs for the identification of protein interactions.

Rebholz-Schuhmann D, Jimeno-Yepes A, Arregui M, Kirsch H.

J Biomed Inform. 2010 Apr;43(2):200-7. doi: 10.1016/j.jbi.2009.09.007. Epub 2009 Oct 8.

18.

Text processing through Web services: calling Whatizit.

Rebholz-Schuhmann D, Arregui M, Gaudan S, Kirsch H, Jimeno A.

Bioinformatics. 2008 Jan 15;24(2):296-8. Epub 2007 Nov 15.

PMID:
18006544
19.

SNPPhenA: a corpus for extracting ranked associations of single-nucleotide polymorphisms and phenotypes from literature.

Bokharaeian B, Diaz A, Taghizadeh N, Chitsaz H, Chavoshinejad R.

J Biomed Semantics. 2017 Apr 7;8(1):14. doi: 10.1186/s13326-017-0116-2.

20.

Using empirically constructed lexical resources for named entity recognition.

Jonnalagadda S, Cohen T, Wu S, Liu H, Gonzalez G.

Biomed Inform Insights. 2013 Jun 24;6(Suppl 1):17-27. doi: 10.4137/BII.S11664. Print 2013.

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