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TAL
2010
Springer
13 years 6 months ago
Summarization as Feature Selection for Document Categorization on Small Datasets
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
Emmanuel Anguiano-Hernández, Luis Villase&n...
ACL
2010
13 years 5 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
WEBDB
2007
Springer
100views Database» more  WEBDB 2007»
14 years 1 months ago
Searching the Blogosphere
With the massive adoption of internet technologies, social media and blogs have become primary means of expressing opinions online. The Blogosphere contains a wealth of informatio...
Nilesh Bansal, Nick Koudas
ACL
2006
13 years 9 months ago
On2L - A Framework for Incremental Ontology Learning in Spoken Dialog Systems
An open-domain spoken dialog system has to deal with the challenge of lacking lexical as well as conceptual knowledge. As the real world is constantly changing, it is not possible...
Berenike Loos
DL
1999
Springer
166views Digital Library» more  DL 1999»
13 years 12 months ago
Semantic Indexing for a Complete Subject Discipline
As part of the Illinois Digital Library Initiative (DLI) project we developed “scalable semantics” technologies. These statistical techniques enabled us to index large collect...
Yi-Ming Chung, Qin He, Kevin Powell, Bruce R. Scha...