Large lexicons for natural language processing: utilising the grammar coding system of LDOCE
Computational Linguistics - Special issue of the lexicon
The self-extending phrasal lexicon
Computational Linguistics - Special issue of the lexicon
Automatically extracting and representing collocations for language generation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Noun classification from predicate-argument structures
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Automatic acquisition of subcategorization frames from tagged text
HLT '91 Proceedings of the workshop on Speech and Natural Language
Feed-forward and recurrent neural networks for source code informal information analysis
Journal of Software Maintenance: Research and Practice
Lexical semantic techniques for corpus analysis
Computational Linguistics - Special issue on using large corpora: II
Automatic extraction of aspectual information from a monolingual corpus
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Automatic acquisition of subcategorization frames from untagged text
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
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This paper discusses an implemented program that automatically classifies verbs into those that describe only states of the world, such as to know, and those that describe events, such as to look. It works by exploiting the constraint between the syntactic environments in which a verb can occur and its meaning. The only input is on-line text. This demonstrates an important new technique for the automatic generation of lexical databases.