Class-based n-gram models of natural language
Computational Linguistics
Improving statistical language model performance with automatically generated word hierarchies
Computational Linguistics
Algorithms for bigram and trigram word clustering
Speech Communication
Statistical Language Learning
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
Ontology learning: state of the art and open issues
Information Technology and Management
Evaluating automatically computed word similarity
PROPOR'03 Proceedings of the 6th international conference on Computational processing of the Portuguese language
Experiments on extracting semantic relations from syntactic relations
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
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In this paper we address the problem of discovering word semantic similarities via statistical processing of text corpora. We propose a knowledge-poor method that exploits the sentencial context of words for extracting similarity relations between them as well as semantic in nature word clusters. The approach aims at full portability across domains and languages and therefore is based on minimal resources.