Lexical representation and process
Lexical representation and process
Word association norms, mutual information, and lexicography
Computational Linguistics
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Nexus: Small Worlds and the Groundbreaking Theory of Networks
Nexus: Small Worlds and the Groundbreaking Theory of Networks
Linked
Expanding domain-specific lexicons by term categorization
Proceedings of the 2003 ACM symposium on Applied computing
Complementing WordNet with Roget's and corpus-based thesauri for information retrieval
EACL '99 Proceedings of the ninth conference on European chapter of the 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 '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
The power of words in message planning
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Using collocations for topic segmentation and link detection
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Hownet And the Computation of Meaning
Hownet And the Computation of Meaning
Enhancing electronic dictionaries with an index based on associations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Lexical access based on underspecified input
COGALEX '08 Proceedings of the workshop on Cognitive Aspects of the Lexicon
Word lookup on the basis of associations: from an idea to a roadmap
ElectricDict '04 Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries
Automatic index creation to support authors to find the word they are looking for
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
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No doubt, words play a major role in language production, hence finding them is of vital importance, be it for writing or for speaking (spontaneous discourse production, simultaneous translation). Words are stored in a dictionary, and the general belief holds, the more entries the better. Yet, to be truly useful the resource should contain not only many entries and a lot of information concerning each one of them, but also adequate navigational means to reveal the stored information. Information access depends crucially on the organization of the data (words) and the access keys (meaning/form), two factors largely overlooked. We will present here some ideas of how an existing electronic dictionary could be enhanced to support a speaker/writer to find the word s/he is looking for. To this end we suggest to add to an existing electronic dictionary an index based on the notion of association, i.e. words co-occurring in a well balanced corpus, the latter being supposed to represent the average citizen's knowledge of the world. Before describing our approach, we will briefly take a critical look at the work being done by colleagues working on automatic, spontaneous or deliberate language production,--that is, computer-generated language, simulation of the mental lexicon, or WordNet (WN),--to see how adequate they are with regard to our goal.