Word association norms, mutual information, and lexicography
Computational Linguistics
Pathfinder associative networks: studies in knowledge organization
Pathfinder associative networks: studies in knowledge organization
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Using collocations for topic segmentation and link detection
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Augmenting noun taxonomies by combining lexical similarity metrics
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Methods for the qualitative evaluation of lexical association measures
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Acquiring collocations for lexical choice between near-synonyms
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
SEMANET '02 Proceedings of the 2002 workshop on Building and using semantic networks - Volume 11
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
COGALEX '08 Proceedings of the workshop on Cognitive Aspects of the Lexicon
Lexical access based on underspecified input
COGALEX '08 Proceedings of the workshop on Cognitive Aspects of the Lexicon
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
Deliberate word access: an intuition, a roadmap and some preliminary empirical results
International Journal of Speech Technology
Random walks on text structures
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
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Word access is an obligatory step in language production. In order to achieve his communicative goal, a speaker/writer needs not only to have something to say, he must also find the corresponding word(s). Yet, knowing a word, i.e. having it stored in a data-base or memory (human mind or electronic device) does not imply that one is able to access it in time. This is a clearly a case where computers (electronic dictionaries) can be of great help. In this paper we present our ideas of how an enhanced electronic dictionary can help people to find the word they are looking for. The yet-to-be-built resource is based on the age-old notion of association: every idea, concept or word is connected. In other words, we assume that people have a highly connected conceptuallexical network in their mind. Finding a word amounts thus to entering the network at any point by giving the word or concept coming to their mind (source word) and then following the links (associations) leading to the word they are looking for(target word). Obviously, in order to allow for this kind of access, the resource has to be built accordingly. This requires at least two things: (a) indexing words by the associations they evoke, (b) identification and labeling of the most frequent/useful associations. This is precisely our goal. Actually, we propose to build an associative network by enriching an existing electronic dictionary (essentially) with (syntagmatic) associations coming from a corpus, representing the average citizen's shared, basic knowledge of the world (encyclopedia). Such an enhanced electronic database resembles in many respects our mental dictionary. Combining the power of computers and the flexibility of the human mind (omnidirectional navigation and quick jumps), it emulates to some extent the latter in its capacity to navigate quickly and efficiently in a large data base. While the notions of association and spreading activation are fairly old, their use to support word access via computer is new. The resource still needs to be built, and this is not a trivial task. We discuss here some of the strategies and problems involved in accomplishing it with the help of people and computers (automation).