250 search results - page 3 / 50 » Learning Probabilistic Models of Word Sense Disambiguation |
COLING
2002
13 years 4 months ago
2002
In this paper, a supervised learning system of word sense disambiguation is presented. It is based on conditional maximum entropy models. This system acquires the linguistic knowl...
FLAIRS
2004
13 years 6 months ago
2004
This paper presents a new approach for combining different semantic disambiguation methods that are part of a Word Sense Disambiguation(WSD) system. The way these methods are comb...
NLP
2000
13 years 8 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...
ACL
2007
13 years 6 months ago
2007
When a word sense disambiguation (WSD) system is trained on one domain but applied to a different domain, a drop in accuracy is frequently observed. This highlights the importance...
ACL
1998
13 years 6 months ago
1998
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowledge source. We describe a system which t)erforms word sense disambiguation on al...