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NAACL
2004

Accurate Information Extraction from Research Papers using Conditional Random Fields

8 years 11 months ago
Accurate Information Extraction from Research Papers using Conditional Random Fields
With the increasing use of research paper search engines, such as CiteSeer, for both literature search and hiring decisions, the accuracy of such systems is of paramount importance. This paper employs Conditional Random Fields (CRFs) for the task of extracting various common fields from the headers and citation of research papers. The basic theory of CRFs is becoming well-understood, but best-practices for applying them to real-world data requires additional exploration. This paper makes an empirical exploration of several factors, including variations on Gaussian, exponential and hyperbolic
Fuchun Peng, Andrew McCallum
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where NAACL
Authors Fuchun Peng, Andrew McCallum
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