Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automatic identification of word translations from unrelated English and German corpora
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Improvements in automatic thesaurus extraction
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
Clustering Syntactic Positions with Similar Semantic Requirements
Computational Linguistics
Accurate collocation extraction using a multilingual parser
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Dependency-Based Construction of Semantic Space Models
Computational Linguistics
Fips, a "deep" linguistic multilingual parser
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
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In this paper, we describe and compare two different approaches for extracting similar words from large corpora. In particular, we compared a method based on syntactic contexts with two strategies relying on windows of tagged words, one using word order and the other bags of words. On a Portuguese corpus of 12 million words, syntactic contexts produce significantly better results for both frequent and not very frequent words.