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» IEPAD: information extraction based on pattern discovery
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FLAIRS
2001
13 years 6 months ago
Automatic Discovery of Linguistic Patterns for Information Extraction
InformationExtraction (IE) systemstypically rely onextraction patterns encoding domain-specific knowledge. Whenmatched against natural languagetexts, these patterns recognize with...
Sanda M. Harabagiu, Mihai Surdeanu, Paul Morarescu
ACL
2006
13 years 6 months ago
On-Demand Information Extraction
At present, adapting an Information Extraction system to new topics is an expensive and slow process, requiring some knowledge engineering for each new topic. We propose a new par...
Satoshi Sekine
JBI
2002
105views Bioinformatics» more  JBI 2002»
13 years 4 months ago
Information extraction for enhanced access to disease outbreak reports
Document search is generally based on individual terms in the document. However, for collections within limited domains it is possible to provide more powerful access tools. This ...
Ralph Grishman, Silja Huttunen, Roman Yangarber
COLING
2010
12 years 11 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman
MIR
2004
ACM
189views Multimedia» more  MIR 2004»
13 years 10 months ago
Repeating pattern discovery and structure analysis from acoustic music data
Music and songs usually have repeating patterns and prominent structure. The automatic extraction of such repeating patterns and structure is useful for further music summarizatio...
Lie Lu, Muyuan Wang, HongJiang Zhang