Word association norms, mutual information, and lexicography
Computational Linguistics
Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Translating collocations for bilingual lexicons: a statistical approach
Computational Linguistics
Acrophile: an automated acronym extractor and server
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Term extraction + term clustering: an integrated platform for computer-aided terminology
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Pruning terminology extracted from a specialized corpus for CV ontology acquisition
OTM'06 Proceedings of the 2006 international conference on On the Move to Meaningful Internet Systems: AWeSOMe, CAMS, COMINF, IS, KSinBIT, MIOS-CIAO, MONET - Volume Part II
Web opinion mining: how to extract opinions from blogs?
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Semantically Expanding Questions for Supervised Automatic Classification
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
ICE-TEA: in-context expansion and translation of English abbreviations
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part II
Enhanced semantic expansion for question classification
International Journal of Internet Technology and Secured Transactions
Towards an automatic characterization of criteria
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
An algorithm for local geoparsing of microtext
Geoinformatica
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This paper presents a set of quality measures to determine the choice of the best expansion for an acronym not defined in the Web page. The method uses statistics computed on Web pages to determine the appropriate expansion. Measures are context-based and rely on the assumption that the most frequent words in the page are related semantically or lexically to the acronym expansion.