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» Discovering Word Meanings Based on Frequent Termsets
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IJON
2007
130views more  IJON 2007»
13 years 5 months ago
A model of Frame and Verb Compliance in language acquisition
Researchers studying word learning have discovered that the syntactic frame in which a word appears plays an important role in the interpretation of the word, and this importance ...
Rutvik Desai
IFSA
2007
Springer
133views Fuzzy Logic» more  IFSA 2007»
13 years 11 months ago
Fuzzy Tree Mining: Go Soft on Your Nodes
Tree mining consists in discovering the frequent subtrees from a forest of trees. This problem has many application areas. For instance, a huge volume of data available from the In...
Federico Del Razo López, Anne Laurent, Pasc...
LREC
2008
171views Education» more  LREC 2008»
13 years 6 months ago
Corpus Co-Occurrence, Dictionary and Wikipedia Entries as Resources for Semantic Relatedness Information
Distributional, corpus-based descriptions have frequently been applied to model aspects of word meaning. However, distributional models that use corpus data as their basis have on...
Michael Roth, Sabine Schulte im Walde
KES
2007
Springer
13 years 11 months ago
A Hierarchical Clustering Method for Semantic Knowledge Bases
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...
Nicola Fanizzi, Claudia d'Amato
ACL
2010
13 years 3 months ago
Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining
In this paper, we propose a novel approach to automatic generation of summary templates from given collections of summary articles. This kind of summary templates can be useful in...
Peng Li, Jing Jiang, Yinglin Wang