2004 BiomedicalNamedEntityRecognitio
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- (Settles, 2004) ⇒ Burr Settles. (2004). “Biomedical Named Entity Recognition Using Conditional Random Fields and Rich Feature Sets.” In: Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications.
Subject Headings: Supervised NER.
Notes
Cited By
- http://scholar.google.com/scholar?q=%22Biomedical+named+entity+recognition+using+conditional+random+fields+and+rich+feature+sets%22+2004
- http://dl.acm.org/citation.cfm?id=1567594.1567618&preflayout=flat#citedby
Quotes
Abstract
As the wealth of biomedical knowledge in the form of literature increases, there is a rising need for effective natural language processing tools to assist in organizing, curating, and retrieving this information. To that end, named entity recognition (the task of identifying words and phrases in free text that belong to certain classes of interest) is an important first step for many of these larger information management goals.
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2004 BiomedicalNamedEntityRecognitio | Burr Settles | Biomedical Named Entity Recognition Using Conditional Random Fields and Rich Feature Sets |