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Items: 1 to 20 of 87

1.

A re-evaluation of biomedical named entity-term relations.

Ohta T, Pyysalo S, Kim JD, Tsujii J.

J Bioinform Comput Biol. 2010 Oct;8(5):917-28.

PMID:
20981895
2.

Text mining in livestock animal science: introducing the potential of text mining to animal sciences.

Sahadevan S, Hofmann-Apitius M, Schellander K, Tesfaye D, Fluck J, Friedrich CM.

J Anim Sci. 2012 Oct;90(10):3666-76. doi: 10.2527/jas.2011-4841. Epub 2012 Jun 4.

3.

Evaluation of BioCreAtIvE assessment of task 2.

Blaschke C, Leon EA, Krallinger M, Valencia A.

BMC Bioinformatics. 2005;6 Suppl 1:S16. Epub 2005 May 24.

4.

Automated recognition of malignancy mentions in biomedical literature.

Jin Y, McDonald RT, Lerman K, Mandel MA, Carroll S, Liberman MY, Pereira FC, Winters RS, White PS.

BMC Bioinformatics. 2006 Nov 7;7:492.

5.

Terminological resources for text mining over biomedical scientific literature.

Rinaldi F, Kaljurand K, Sætre R.

Artif Intell Med. 2011 Jun;52(2):107-14. doi: 10.1016/j.artmed.2011.04.011. Epub 2011 Jun 11.

PMID:
21652190
6.

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
7.

Named entity recognition and classification in biomedical text using classifier ensemble.

Saha S, Ekbal A, Sikdar UK.

Int J Data Min Bioinform. 2015;11(4):365-91.

PMID:
26336665
8.

The value of an in-domain lexicon in genomics QA.

Sasaki Y, McNaught J, Ananiadou S.

J Bioinform Comput Biol. 2010 Feb;8(1):147-61.

PMID:
20183880
9.

Recognizing names in biomedical texts: a machine learning approach.

Zhou G, Zhang J, Su J, Shen D, Tan C.

Bioinformatics. 2004 May 1;20(7):1178-90. Epub 2004 Feb 10.

PMID:
14871877
10.

Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery.

Gonzalez GH, Tahsin T, Goodale BC, Greene AC, Greene CS.

Brief Bioinform. 2016 Jan;17(1):33-42. doi: 10.1093/bib/bbv087. Epub 2015 Sep 29. Review.

11.

Biomedical hypothesis generation by text mining and gene prioritization.

Petric I, Ligeti B, Gyorffy B, Pongor S.

Protein Pept Lett. 2014;21(8):847-57.

PMID:
23855662
12.

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.

13.

BioCause: Annotating and analysing causality in the biomedical domain.

Mihăilă C, Ohta T, Pyysalo S, Ananiadou S.

BMC Bioinformatics. 2013 Jan 16;14:2. doi: 10.1186/1471-2105-14-2.

14.

Complex event extraction at PubMed scale.

Björne J, Ginter F, Pyysalo S, Tsujii J, Salakoski T.

Bioinformatics. 2010 Jun 15;26(12):i382-90. doi: 10.1093/bioinformatics/btq180.

15.
16.

BIOSMILE: a semantic role labeling system for biomedical verbs using a maximum-entropy model with automatically generated template features.

Tsai RT, Chou WC, Su YS, Lin YC, Sung CL, Dai HJ, Yeh IT, Ku W, Sung TY, Hsu WL.

BMC Bioinformatics. 2007 Sep 1;8:325.

17.

Mining biomarker information in biomedical literature.

Younesi E, Toldo L, Müller B, Friedrich CM, Novac N, Scheer A, Hofmann-Apitius M, Fluck J.

BMC Med Inform Decis Mak. 2012 Dec 18;12:148. doi: 10.1186/1472-6947-12-148.

18.

A sentence sliding window approach to extract protein annotations from biomedical articles.

Krallinger M, Padron M, Valencia A.

BMC Bioinformatics. 2005;6 Suppl 1:S19. Epub 2005 May 24.

19.
20.

Exploitation of ontological resources for scientific literature analysis: searching genes and related diseases.

Jimeno-Yepes A, Berlanga-Llavori R, Rebholz-Schuhmann D.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:7073-8. doi: 10.1109/IEMBS.2009.5333359. Review.

PMID:
19964204

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