Corpus processing for lexical acquisition
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Using Syntactic Dependency-Pairs Conflation to Improve Retrieval Performance in Spanish
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Using domain-specific verbs for term classification
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Efficient concept clustering for ontology learning using an event life cycle on the web
Proceedings of the 2008 ACM symposium on Applied computing
Ontology generation for large email collections
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Hierarchical document categorization with k-NN and concept-based thesauri
Information Processing and Management: an International Journal
Inducing classes of terms from text
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Tools for nominalization: an alternative for lexical normalization
PROPOR'06 Proceedings of the 7th international conference on Computational Processing of the Portuguese Language
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This paper presents an investigation about concepts extraction from texts using clustering algorithms. We applied a hybrid approach to select feature candidates and the CLUTO tool to support the process of clustering of terms. The analysis of identified concepts was manual. The details and preliminaries results of this approach for portuguese texts are discussed.