133 search results - page 6 / 27 » Learning to Merge Word Senses |
COLING
2002
13 years 7 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...
EMNLP
2008
13 years 9 months ago
2008
The accuracy of current word sense disambiguation (WSD) systems is affected by the fine-grained sense inventory of WordNet as well as a lack of training examples. Using the WSD ex...
TAL
2004
Springer
14 years 29 days ago
2004
Springer
This paper presents an algorithm to apply the smoothing techniques described in [1] to three different Machine Learning (ML) methods for Word Sense Disambiguation (WSD). The method...
BMCBI
2010
13 years 7 months ago
2010
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
AAAI
2006
13 years 9 months ago
2006
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...