Paper Info
Title
Semantic enrichment of journal articles using chemical named entity recognition
Abstract
We describe the semantic enrichment of journal articles with chemical structures and biomedical ontology terms using Oscar, a program for chemical named entity recognition (NER). We describe how Oscar works and how it can been adapted for general NER. We discuss its implementation in a real publishing workflow and possible applications for enriched articles.
Year
Venue
Keywords
2007
ACL
real publishing workflow,semantic enrichment,possible application,entity recognition,oscar work,chemical structure,journal article,enriched article,general ner,biomedical ontology term
Field
DocType
Volume
Entity linking,Ontology,Information retrieval,Computer science,Artificial intelligence,Natural language processing,Named-entity recognition,Workflow
Conference
P07-2
Citations 
PageRank 
References 
9
0.70
5
Authors
2
Name
Order
Citations
PageRank
Colin R. Batchelor118013.20
Peter T. Corbett2583.28