Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Introduction: named entity recognition in biomedicine
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
On the development of a technology intelligence tool for identifying technology opportunity
Expert Systems with Applications: An International Journal
Bioinformatics
Reranking for biomedical named-entity recognition
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Web Semantics: Science, Services and Agents on the World Wide Web
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We propose how to extract procedural knowledge rather than declarative knowledge utilizing machine learning method with deep language processing features in scientific documents, as well as how to model it. We show the representation of procedural knowledge in PubMed abstracts and provide experiments that are quite promising in that it shows 82%, 63%, 73%, and 70% performances of purpose/solutions (two components of procedural knowledge model) extraction, process's entity identification, entity association, and relation identification between processes respectively, even though we applied strict guidelines in evaluating the performance.