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» Word-Sense Disambiguation Using Decomposable Models
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COLING
2010
12 years 11 months ago
Towards an optimal weighting of context words based on distance
Word Sense Disambiguation (WSD) often relies on a context model or vector constructed from the words that co-occur with the target word within the same text windows. In most cases...
Bernard Brosseau-Villeneuve, Jian-Yun Nie, Noriko ...
ACL
2006
13 years 6 months ago
Automatically Extracting Nominal Mentions of Events with a Bootstrapped Probabilistic Classifier
Most approaches to event extraction focus on mentions anchored in verbs. However, many mentions of events surface as noun phrases. Detecting them can increase the recall of event ...
Cassandre Creswell, Matthew J. Beal, John Chen, Th...
CLEF
2009
Springer
13 years 5 months ago
UNIBA-SENSE @ CLEF 2009: Robust WSD Task
This paper presents the participation of the semantic N-levels search engine SENSE at the CLEF 2009 Ad Hoc Robust-WSD Task. During the participation at the same task of CLEF 2008,...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
LREC
2008
159views Education» more  LREC 2008»
13 years 6 months ago
Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation
We present new direct data analysis showing that dynamically-built context-dependent phrasal translation lexicons are more useful resources for phrase-based statistical machine tr...
Marine Carpuat, Dekai Wu
JMLR
2011
192views more  JMLR 2011»
12 years 11 months ago
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...