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» Learning Syntactic Patterns for Automatic Hypernym Discovery
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NIPS
2004
13 years 5 months ago
Learning Syntactic Patterns for Automatic Hypernym Discovery
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
CICLING
2008
Springer
13 years 5 months ago
Semantic and Syntactic Features for Dutch Coreference Resolution
We investigate the effect of encoding additional semantic and syntactic information sources in a classification-based machine learning approach to the task of coreference resolutio...
Iris Hendrickx, Véronique Hoste, Walter Dae...
FLAIRS
2001
13 years 5 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
CIARP
2004
Springer
13 years 9 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
ACL
2012
11 years 6 months ago
Pattern Learning for Relation Extraction with a Hierarchical Topic Model
We describe the use of a hierarchical topic model for automatically identifying syntactic and lexical patterns that explicitly state ontological relations. We leverage distant sup...
Enrique Alfonseca, Katja Filippova, Jean-Yves Delo...