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AAAI
2004
13 years 10 months ago
SenseClusters - Finding Clusters that Represent Word Senses
SenseClusters is a freely available word sense discrimination system that takes a purely unsupervised clustering approach. It uses no knowledge other than what is available in a r...
Amruta Purandare, Ted Pedersen
EACL
2003
ACL Anthology
13 years 10 months ago
Beyond Lexical Units: Enriching WordNets with Phrasets
In this paper we present a proposal to extend WordNet-like lexical databases by adding phrasets, i.e. sets of free combinations of words which are recurrently used to express a co...
Luisa Bentivogli, Emanuele Pianta
COGSCI
2010
125views more  COGSCI 2010»
13 years 9 months ago
A Probabilistic Computational Model of Cross-Situational Word Learning
Words are the essence of communication: they are the building blocks of any language. Learning the meaning of words is thus one of the most important aspects of language acquisiti...
Afsaneh Fazly, Afra Alishahi, Suzanne Stevenson
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
14 years 9 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
CSL
2002
Springer
13 years 8 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy