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IRCDL
2007
13 years 6 months ago
An Hybrid Approach for Improving Word Sense Disambiguation and Text Clustering
Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...
Paolo Casoto, Carlo Tasso
CICLING
2009
Springer
14 years 5 months ago
Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation
We propose a supervised word sense disambiguation (WSD) system that uses features obtained from clustering results of word instances. Our approach is novel in that we employ semi-s...
Kazunari Sugiyama, Manabu Okumura
EMNLP
2010
13 years 2 months ago
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
Ioannis P. Klapaftis, Suresh Manandhar
ACL
2008
13 years 6 months ago
An Unsupervised Vector Approach to Biomedical Term Disambiguation: Integrating UMLS and Medline
This paper introduces an unsupervised vector approach to disambiguate words in biomedical text that can be applied to all-word disambiguation. We explore using contextual informat...
Bridget McInnes
NLDB
2005
Springer
13 years 10 months ago
The Role of Word Sense Disambiguation in Automated Text Categorization
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...
José María Gómez Hidalgo, Man...