Word association norms, mutual information, and lexicography
Computational Linguistics
WordNet: a lexical database for English
Communications of the ACM
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
EuroWordNet: a multilingual database with lexical semantic networks
EuroWordNet: a multilingual database with lexical semantic networks
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
Using collocations for topic segmentation and link detection
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
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
Lexical access based on underspecified input
COGALEX '08 Proceedings of the workshop on Cognitive Aspects of the Lexicon
Looking up phrase rephrasings via a pivot language
COGALEX '08 Proceedings of the workshop on Cognitive Aspects of the Lexicon
Measuring and predicting orthographic associations: modelling the similarity of Japanese kanji
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Deliberate word access: an intuition, a roadmap and some preliminary empirical results
International Journal of Speech Technology
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A good dictionary contains not only many entries and a lot of information concerning each one of them, but also adequate means to reveal the stored information. Information access depends crucially on the quality of the index. We will present here some ideas of how a 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 resource an index based on the notion of association. We will also present preliminary work of how a subset of such associations, for example, topical associations, can be acquired by filtering a network of lexical co-occurrences extracted from a corpus.