Sciweavers

37 search results - page 3 / 8
» Evaluation of Clustering Algorithms for Polish Word Sense Di...
Sort
View
CORR
2000
Springer
132views Education» more  CORR 2000»
13 years 7 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...
SIGIR
2005
ACM
14 years 1 months ago
Noun sense induction using web search results
This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any...
Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibl...
IIS
2003
13 years 9 months ago
Web Search Results Clustering in Polish: Experimental Evaluation of Carrot
Abstract. In this paper we consider the problem of web search results clustering in the Polish language, supporting our analysis with results acquired from an experimental system n...
Dawid Weiss, Jerzy Stefanowski
LREC
2010
162views Education» more  LREC 2010»
13 years 9 months ago
Construction of a Benchmark Data Set for Cross-lingual Word Sense Disambiguation
Given the recent trend to evaluate the performance of word sense disambiguation systems in a more application-oriented set-up, we report on the construction of a multilingual benc...
Els Lefever, Véronique Hoste
ACL
2004
13 years 9 months ago
Relieving the data Acquisition Bottleneck in Word Sense Disambiguation
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 ...
Mona T. Diab