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» Distributional Clustering of English Words
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ICML
2005
IEEE
14 years 8 months ago
Multi-way distributional clustering via pairwise interactions
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
Ron Bekkerman, Ran El-Yaniv, Andrew McCallum
ACL
2004
13 years 8 months ago
Finding Predominant Word Senses in Untagged Text
In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The pro...
Diana McCarthy, Rob Koeling, Julie Weeds, John A. ...
ACL
2012
11 years 9 months ago
A Topic Similarity Model for Hierarchical Phrase-based Translation
Previous work using topic model for statistical machine translation (SMT) explore topic information at the word level. However, SMT has been advanced from word-based paradigm to p...
Xinyan Xiao, Deyi Xiong, Min Zhang, Qun Liu, Shoux...
CLEIEJ
2000
91views more  CLEIEJ 2000»
13 years 7 months ago
Low Cost Cluster Architectures for Parallel and Distributed Processing
Cluster based architectures are standing out in the last years as an alternative for the construction of versatile, low cost parallel machines. This versatility permits their use ...
Giancarlo C. Mai, César A. F. De Rose
AIED
2009
Springer
14 years 1 months ago
Assessing Student Paraphrases Using Lexical Semantics and Word Weighting
We present in this paper an approach to assessing student paraphrases in the intelligent tutoring system iSTART. The approach is based on measuring the semantic similarity between ...
Vasile Rus, Mihai C. Lintean, Arthur C. Graesser, ...