Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 93

1.

Using workflows to explore and optimise named entity recognition for chemistry.

Kolluru B, Hawizy L, Murray-Rust P, Tsujii J, Ananiadou S.

PLoS One. 2011;6(5):e20181. doi: 10.1371/journal.pone.0020181.

2.

Cascaded classifiers for confidence-based chemical named entity recognition.

Corbett P, Copestake A.

BMC Bioinformatics. 2008 Nov 19;9 Suppl 11:S4. doi: 10.1186/1471-2105-9-S11-S4.

3.

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.

4.

Feature selection techniques for maximum entropy based biomedical named entity recognition.

Saha SK, Sarkar S, Mitra P.

J Biomed Inform. 2009 Oct;42(5):905-11. doi: 10.1016/j.jbi.2008.12.012.

5.

A linear classifier based on entity recognition tools and a statistical approach to method extraction in the protein-protein interaction literature.

Lourenço A, Conover M, Wong A, Nematzadeh A, Pan F, Shatkay H, Rocha LM.

BMC Bioinformatics. 2011 Oct 3;12 Suppl 8:S12. doi: 10.1186/1471-2105-12-S8-S12. Erratum in: BMC Bioinformatics. 2012;13:180.

6.

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.

7.

Enhancing HMM-based biomedical named entity recognition by studying special phenomena.

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

J Biomed Inform. 2004 Dec;37(6):411-22.

8.

Identifying non-elliptical entity mentions in a coordinated NP with ellipses.

Chae J, Jung Y, Lee T, Jung S, Huh C, Kim G, Kim H, Oh H.

J Biomed Inform. 2014 Feb;47:139-52. doi: 10.1016/j.jbi.2013.10.002.

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.

PMID:
14871877
10.

ChemSpot: a hybrid system for chemical named entity recognition.

Rocktäschel T, Weidlich M, Leser U.

Bioinformatics. 2012 Jun 15;28(12):1633-40. doi: 10.1093/bioinformatics/bts183.

PMID:
22500000
11.

Improving named entity recognition accuracy for gene and protein in biomedical text literature.

Tohidi H, Ibrahim H, Murad MA.

Int J Data Min Bioinform. 2014;10(3):239-68.

PMID:
25946862
12.

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.

13.

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.

14.
15.

Deploying and sharing U-Compare workflows as web services.

Kontonatsios G, Korkontzelos I, Kolluru B, Thompson P, Ananiadou S.

J Biomed Semantics. 2013 Feb 18;4(1):7. doi: 10.1186/2041-1480-4-7.

16.

Text mining meets workflow: linking U-Compare with Taverna.

Kano Y, Dobson P, Nakanishi M, Tsujii J, Ananiadou S.

Bioinformatics. 2010 Oct 1;26(19):2486-7. doi: 10.1093/bioinformatics/btq464.

17.

Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features.

Tang B, Cao H, Wu Y, Jiang M, Xu H.

BMC Med Inform Decis Mak. 2013;13 Suppl 1:S1. doi: 10.1186/1472-6947-13-S1-S1.

18.

POSBIOTM-NER: a trainable biomedical named-entity recognition system.

Song Y, Kim E, Lee GG, Yi BK.

Bioinformatics. 2005 Jun 1;21(11):2794-6.

PMID:
15814561
19.

Using name-internal and contextual features to classify biological terms.

Torii M, Kamboj S, Vijay-Shanker K.

J Biomed Inform. 2004 Dec;37(6):498-511.

20.

A two-phase bio-NER system based on integrated classifiers and multiagent strategy.

Li L, Fan W, Huang D.

IEEE/ACM Trans Comput Biol Bioinform. 2013 Jul-Aug;10(4):897-904. doi: 10.1109/TCBB.2013.106.

PMID:
24334384

Supplemental Content

Support Center