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» Automatic Rule Refinement for Information Extraction
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ACL
2003
15 years 1 months ago
A Syllable Based Word Recognition Model for Korean Noun Extraction
Noun extraction is very important for many NLP applications such as information retrieval, automatic text classification, and information extraction. Most of the previous Korean ...
Do-Gil Lee, Hae-Chang Rim, Heui-Seok Lim
BMCBI
2010
149views more  BMCBI 2010»
14 years 11 months ago
KID - an algorithm for fast and efficient text mining used to automatically generate a database containing kinetic information o
Background: The amount of available biological information is rapidly increasing and the focus of biological research has moved from single components to networks and even larger ...
Stephanie Heinen, Bernhard Thielen, Dietmar Schomb...
TVCG
2012
203views Hardware» more  TVCG 2012»
13 years 2 months ago
Morse Set Classification and Hierarchical Refinement Using Conley Index
—Morse decomposition provides a numerically stable topological representation of vector fields that is crucial for their rigorous interpretation. However, Morse decomposition is ...
Guoning Chen, Qingqing Deng, Andrzej Szymczak, Rob...
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ICTAI
2010
IEEE
14 years 9 months ago
Ontology-guided Extraction of Complex Nested Relationships
Many applications call for methods to enable automatic extraction of structured information from unstructured natural language text. Due to inherent challenges of natural language ...
Sushain Pandit, Vasant Honavar
IRI
2007
IEEE
15 years 6 months ago
Automated Multimedia Systems Training Using Association Rule Mining
User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
Na Zhao, Shu-Ching Chen, Stuart Harvey Rubin