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ANLP
2000
114views more  ANLP 2000»
13 years 6 months ago
Unsupervised Discovery of Scenario-Level Patterns for Information Extraction
Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base--a timeconsuming...
Roman Yangarber, Ralph Grishman, Pasi Tapanainen
ACL
2003
13 years 6 months ago
An Improved Extraction Pattern Representation Model for Automatic IE Pattern Acquisition
Several approaches have been described for the automatic unsupervised acquisition of patterns for information extraction. Each approach is based on a particular model for the patt...
Kiyoshi Sudo, Satoshi Sekine, Ralph Grishman
ACL
2003
13 years 6 months ago
Counter-Training in Discovery of Semantic Patterns
This paper presents a method for unsupervised discovery of semantic patterns. Semantic patterns are useful for a variety of text understanding tasks, in particular for locating ev...
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
MM
2005
ACM
146views Multimedia» more  MM 2005»
13 years 10 months ago
Unsupervised content discovery in composite audio
Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
Rui Cai, Lie Lu, Alan Hanjalic