A text-mining perspective on the requirements for electronically annotated abstracts Export

@article{citeulike:2925160, abstract = {We propose that the combination of human expertise and automatic text-mining systems can be used to create a first generation of electronically annotated information (EAI) that can be added to journal abstracts and that is directly related to the information in the corresponding text. The first experiments have concentrated on the annotation of gene/protein names and those of organisms, as these are the best resolved problems. A second generation of systems could then attempt to address the problems of annotating protein interactions and protein/gene functions, a more difficult task for text-mining systems. EAI will permit easier categorization of this information, it will help in the evaluation of papers for their curation in databases, and it will be invaluable for maintaining the links between the information in databases and the facts described in text. Additionally, it will contribute to the efforts towards completing database information and creating collections of annotated text that can be used to train new generations of text-mining systems. The recent introduction of the first meta-server for the annotation of biological text, with the possibility of collecting annotations from available text-mining systems, adds credibility to the technical feasibility of this proposal.}, address = {Structural Computational Biology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.}, author = {Leitner, F. and Valencia, A.}, citeulike-article-id = {2925160}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.febslet.2008.02.072}, citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/S0014579308001956}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18328824}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18328824}, day = {09}, doi = {10.1016/j.febslet.2008.02.072}, issn = {00145793}, journal = {FEBS Letters}, keywords = {alfonso-valencia, biocreative, text-mining}, month = {April}, number = {8}, pages = {1178--1181}, posted-at = {2009-02-05 16:34:09}, priority = {2}, title = {A text-mining perspective on the requirements for electronically annotated abstracts}, url = {http://dx.doi.org/10.1016/j.febslet.2008.02.072}, volume = {582}, year = {2008} }

TY - JOUR ID - citeulike:2925160 L3 - citeulike-article-id:2925160 N2 - We propose that the combination of human expertise and automatic text-mining systems can be used to create a first generation of electronically annotated information (EAI) that can be added to journal abstracts and that is directly related to the information in the corresponding text. The first experiments have concentrated on the annotation of gene/protein names and those of organisms, as these are the best resolved problems. A second generation of systems could then attempt to address the problems of annotating protein interactions and protein/gene functions, a more difficult task for text-mining systems. EAI will permit easier categorization of this information, it will help in the evaluation of papers for their curation in databases, and it will be invaluable for maintaining the links between the information in databases and the facts described in text. Additionally, it will contribute to the efforts towards completing database information and creating collections of annotated text that can be used to train new generations of text-mining systems. The recent introduction of the first meta-server for the annotation of biological text, with the possibility of collecting annotations from available text-mining systems, adds credibility to the technical feasibility of this proposal. IS - 8 JF - FEBS Letters SN - 00145793 AD - Structural Computational Biology Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain. EP - 1181 TI - A text-mining perspective on the requirements for electronically annotated abstracts VL - 582 SP - 1178 KW - alfonso-valencia KW - biocreative KW - text-mining AU - Leitner, F AU - Valencia, A PY - 2008/04/09/ UR - http://dx.doi.org/10.1016/j.febslet.2008.02.072 ER -