An environment for relation mining over richly annotated corpora: the case of GENIA

Author:

Rinaldi Fabio,Schneider Gerold,Kaljurand Kaarel,Hess Michael,Romacker Martin

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Reference32 articles.

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2. Rinaldi F, Schneider G, Kaljurand K, Hess M, Andronis C, Konstanti O, Persidis A: Mining of Functional Relations between Genes and Proteins over Biomedical Scientific Literature using a Deep-Linguistic Approach. Journal of Artificial Intelligence in Medicine 2006, in press.

3. Saric J, Jensen LJ, Ouzounova R, Rojas I, Bork P: Extraction of regulatory gene/protein networks from Medline. Bioinformatics 2005, 22(6):645–650. 10.1093/bioinformatics/bti597

4. Daraselia N, Egorov S, Yazhuk A, Novichkova S, Yuryev A, Mazo I: Extracting Protein Function Information from MEDLINE Using a Full-Sentence Parser. In Second European Workshop on Data Mining and Text Mining for Bioinformatics. Edited by: Scheffer T. Pisa, Italy: ECML/PKDD; 2004:11–18.

5. Kim J, Ohta T, Tateisi Y, Tsujii J: GENIA Corpus – a Semantically Annotated Corpus for Bio-Textmining. Bioinformatics 2003, 19: 180–182. [ http://bioinformatics.oxfordjournals.org/cgi/content/abstract/19/suppl_1/i180 ] 10.1093/bioinformatics/btg1023

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