Communications of the ACM
Extracting the names of genes and gene products with a hidden Markov model
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Intelligent access to text: integrating information extraction technology into text browsers
HLT '01 Proceedings of the first international conference on Human language technology research
NLP-Based Curation of Bacterial Regulatory Networks
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Corpus study of kidney-related experimental data in scientific papers
WBIE '09 Proceedings of the Workshop on Biomedical Information Extraction
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Information Extraction (IE), defined as the activity to extract structured knowledge from unstructured text sources, offers new opportunities for the exploitation of biological information contained in the vast amounts of scientific literature. But while IE technology has received increasing attention in the area of molecular biology, there have not been many examples of IE systems successfully deployed in end-user applications. We describe the development of PASTAWeb, a WWW-based interface to the extraction output of PASTA, an IE system that extracts protein structure information from MEDLINE abstracts. Key characteristics of PASTAWeb are the seamless integration of the PASTA extraction results (templates) with WWW-based technology, the dynamic generation of WWW content from 'static' data and the fusion of information extracted from multiple documents.