Information-based syntax and semantics: Vol. 1: fundamentals
Information-based syntax and semantics: Vol. 1: fundamentals
Tools and methods for computational lexicology
Computational Linguistics - Special issue of the lexicon
Extended algebra and calculus for nested relational databases
ACM Transactions on Database Systems (TODS)
The O2 database programming language
VLDB '89 Proceedings of the 15th international conference on Very large data bases
Outline of a model for lexical databases
Information Processing and Management: an International Journal
Non first normal form relations to represent hierarchically organized data
PODS '84 Proceedings of the 3rd ACM SIGACT-SIGMOD symposium on Principles of database systems
The structure of the merriam-webster pocket dictionary
The structure of the merriam-webster pocket dictionary
Creating and querying lexical data bases
ANLC '88 Proceedings of the second conference on Applied natural language processing
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
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
Semantically significant patterns in dictionary definitions
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
Extraction of semantic information from an ordinary English dictionary and its evaluation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
Standards going concrete: from LMF to Morphalou
ElectricDict '04 Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries
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To date, no fully suitable data model for lexical databases has been proposed. As lexical databases have proliferated in multiple formats, there has been growing concern over the reusability of lexical resources. In this paper, we propose a model based on feature structures which overcomes most of the problems inherent in classical database models, and in particular enables accessing, manipulating or merging information structured in multiple ways. Because of their widespread use in the representation of linguistic information, the applicability of feature structures to lexical databases seems natural, although to our knowledge this has not yet been implemented. The use of feature structures in lexical databases also opens up the possibility of compatibility with computational lexicons.