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» Smoothing and Word Sense Disambiguation
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NLPRS
2001
Springer
13 years 11 months ago
Ensembling based on Feature Space Restructuring with Application to WSD
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru...
NAACL
2007
13 years 8 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
LREC
2010
168views Education» more  LREC 2010»
13 years 8 months ago
Bulgarian National Corpus Project
The paper presents Bulgarian National Corpus project (BulNC) - a large-scale, representative, online available corpus of Bulgarian. The BulNC is also a monolingual general corpus,...
Svetla Koeva, Diana Blagoeva, Siya Kolkovska
LREC
2008
107views Education» more  LREC 2008»
13 years 8 months ago
Building a Bilingual Representation of the Roget Thesaurus for French to English Machine Translation
This paper describes a solution to lexical transfer as a trade-off between a dictionary and an ontology. It shows its association to a translation tool based on morpho-syntactical...
Violaine Prince, Jacques Chauché
CIKM
2011
Springer
12 years 7 months ago
Focusing on novelty: a crawling strategy to build diverse language models
Word prediction performed by language models has an important role in many tasks as e.g. word sense disambiguation, speech recognition, hand-writing recognition, query spelling an...
Luciano Barbosa, Srinivas Bangalore