Sciweavers

184 search results - page 14 / 37
» Learning Expressive Models for Word Sense Disambiguation
Sort
View
SAC
2009
ACM
14 years 2 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
LRE
2010
145views more  LRE 2010»
13 years 2 months ago
Annotation of multiword expressions in the Prague dependency treebank
In this article we want to demonstrate that annotation of multiword expressions in the Prague Dependency Treebank is a well defined task, that it is useful as well as feasible, an...
Eduard Bejcek, Pavel Stranák
JMLR
2010
108views more  JMLR 2010»
13 years 2 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
EMNLP
2007
13 years 9 months ago
Learning to Merge Word Senses
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
Rion Snow, Sushant Prakash, Daniel Jurafsky, Andre...
LREC
2008
125views Education» more  LREC 2008»
13 years 9 months ago
Evaluation of Natural Language Tools for Italian: EVALITA 2007
EVALITA 2007, the first edition of the initiative devoted to the evaluation of Natural Language Processing tools for Italian, provided a shared framework where participants' ...
Bernardo Magnini, Amedeo Cappelli, Fabio Tamburini...