184 search results - page 7 / 37 » Learning Expressive Models for Word Sense Disambiguation |
CIKM
2005
Springer
14 years 1 months ago
2005
Springer
This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined first. For each word in th...
ECAI
2000
Springer
13 years 12 months ago
2000
Springer
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
ACL
2004
13 years 9 months ago
2004
Supervised learning methods for WSD yield better performance than unsupervised methods. Yet the availability of clean training data for the former is still a severe challenge. In ...
ACL
2006
13 years 9 months ago
2006
We present a novel hybrid approach for Word Sense Disambiguation (WSD) which makes use of a relational formalism to represent instances and background knowledge. It is built using...
NLDB
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Automated Text Categorization has reached the levels of accuracy of human experts. Provided that enough training data is available, it is possible to learn accurate autom...