2004 BiomedicalNamedEntityRecognitio

• (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.

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
2004 BiomedicalNamedEntityRecognitio	Burr Settles			Biomedical Named Entity Recognition Using Conditional Random Fields and Rich Feature Sets