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» Learning Probabilistic Models of Word Sense Disambiguation
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ACL
1998
13 years 7 months ago
Error Driven Word Sense Disambiguation
In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on unsupervised learning and exploits functional relations among words as prod...
Luca Dini, Vittorio Di Tomaso, Frédé...
FLAIRS
2011
12 years 9 months ago
Impact of Word Sense Disambiguation on Ordering Dictionary Definitions in Vocabulary Learning Tutors
Past research has shown that dictionaries and glosses can be beneficial in computer assisted language learning, particularly in vocabulary learning. We propose that L2 vocabulary ...
Kevin Dela Rosa, Maxine Eskenazi
CORR
2000
Springer
132views Education» more  CORR 2000»
13 years 5 months ago
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
This paper describes a set of comparative experiments, including cross{corpus evaluation, between ve alternative algorithms for supervised Word Sense Disambiguation (WSD), namely ...
Gerard Escudero, Lluís Màrquez, Germ...
COLING
2010
13 years 23 days ago
Jointly Modeling WSD and SRL with Markov Logic
Semantic role labeling (SRL) and word sense disambiguation (WSD) are two fundamental tasks in natural language processing to find a sentence-level semantic representation. To date...
Wanxiang Che, Ting Liu
BMCBI
2006
151views more  BMCBI 2006»
13 years 5 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...