Foundations of statistical natural language processing
Foundations of statistical natural language processing
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Automatic identification of non-compositional phrases
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Syntagmatic and paradigmatic representations of term variation
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Methods for the qualitative evaluation of lexical association measures
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Enhancing automatic term recognition through recognition of variation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Collocation extraction based on modifiability statistics
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Paradigmatic modifiability statistics for the extraction of complex multi-word terms
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Research on Automatic Chinese Multi-word Term Extraction Based on Term Component
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Extending lexical association measures for collocation extraction
Computer Speech and Language
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Multi-word expression identification using sentence surface features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Using text to build semantic networks for pharmacogenomics
Journal of Biomedical Informatics
Automatic construction and enrichment of informal ontologies: A survey
Programming and Computing Software
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In the past years, a number of lexical association measures have been studied to help extract new scientific terminology or general-language collocations. The implicit assumption of this research was that newly designed term measures involving more sophisticated statistical criteria would outperform simple counts of co-occurrence frequencies. We here explicitly test this assumption. By way of four qualitative criteria, we show that purely statistics-based measures reveal virtually no difference compared with frequency of occurrence counts, while linguistically more informed metrics do reveal such a marked difference.