Analysing the dictionary definitions
Computational lexicography for natural language processing
The structure of the merriam-webster pocket dictionary
The structure of the merriam-webster pocket dictionary
Detecting patterns in a Lexical Data Base
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
MindNet: acquiring and structuring semantic information from text
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Semantically significant patterns in dictionary definitions
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Extracting semantic hierarchies from a large on-line dictionary
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
A taxonomy for English nouns and verbs
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
Exploiting a large data base by Longman
COLING '80 Proceedings of the 8th conference on Computational linguistics
Word sense ambiguation: clustering related senses
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Algorithm for automatic interpretation of noun sequences
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Structural patterns vs. string patterns for extracting semantic information from dictionaries
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
MindNet: an automatically-created lexical resource
HLT-Demo '05 Proceedings of HLT/EMNLP on Interactive Demonstrations
Comparing verb synonym resources for Portuguese
PROPOR'10 Proceedings of the 9th international conference on Computational Processing of the Portuguese Language
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This paper describes a project aimed at creating a lexical ontology extracted (semi) automatically from a large Portuguese general dictionary. Although using machine readable dictionaries to extract semantic information is not new, we believe this is the first attempt for the Portuguese language. The paper describes a (to be) freely available resource, dubbed PAPEL, explaining the process used and the tools developed, and illustrating it with one specific relation: Causation.