34 search results - page 3 / 7 » Word Sense Disambiguation Using OntoNotes: An Empirical Stud... |
NLP
2000
13 years 9 months ago
2000
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
CICLING
2010
Springer
14 years 14 days ago
2010
Springer
Recent research works on unsupervised word sense disambiguation report an increase in performance, which reduces their handicap from the respective supervised approaches for the sa...
EMNLP
2007
13 years 7 months ago
2007
We show for the first time that incorporating the predictions of a word sense disambiguation system within a typical phrase-based statistical machine translation (SMT) model cons...
COLING
2008
13 years 7 months ago
2008
In this paper we explore robustness and domain adaptation issues for Word Sense Disambiguation (WSD) using Singular Value Decomposition (SVD) and unlabeled data. We focus on the s...
ACL
1994
13 years 7 months ago
1994
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...