%0 Journal Article %1 citeulike:9225361 %A Sierra, Gerardo %A McNaught, John %D 2000 %J International Journal of Lexicography %K ijl, lexicography %N 4 %P 264--286 %R 10.1093/ijl/13.4.264 %T EXTRACTING SEMANTIC CLUSTERS FROM MRDs FOR AN ONOMASIOLOGICAL SEARCH DICTIONARY %U http://dx.doi.org/10.1093/ijl/13.4.264 %V 13 %X The ideal onomasiological dictionary should allow users to search for a word by introducing the knowledge they already have about a concept. Such an onomasiological search relies crucially on indexed information about lexical paradigms or clusters in order to expand the query in the search for the word.This paper describes a semantic clustering method applied to machine-readable dictionaries (MRDs) in order to construct an onomasiological dictionary to find terms from concepts. We first assess related approaches based on ontologies and statistics, before introducing our analogy-based approach that allows us to extract semantic clusters by aligning definitions from two dictionaries. Evaluation of the final set of clusters for a small set of definitions demonstrates the effectiveness of our approach

@article{citeulike:9225361, abstract = {{The ideal onomasiological dictionary should allow users to search for a word by introducing the knowledge they already have about a concept. Such an onomasiological search relies crucially on indexed information about lexical paradigms or clusters in order to expand the query in the search for the word.This paper describes a semantic clustering method applied to machine-readable dictionaries (MRDs) in order to construct an onomasiological dictionary to find terms from concepts. We first assess related approaches based on ontologies and statistics, before introducing our analogy-based approach that allows us to extract semantic clusters by aligning definitions from two dictionaries. Evaluation of the final set of clusters for a small set of definitions demonstrates the effectiveness of our approach}}, added-at = {2011-05-04T16:04:17.000+0200}, author = {Sierra, Gerardo and McNaught, John}, biburl = {https://www.bibsonomy.org/bibtex/2f1d88d936cb18f422fbbb0cf2e136b3d/baisemain}, citeulike-article-id = {9225361}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/ijl/13.4.264}, citeulike-linkout-1 = {http://ijl.oxfordjournals.org/content/13/4/264.abstract}, citeulike-linkout-2 = {http://ijl.oxfordjournals.org/content/13/4/264.full.pdf}, day = 1, doi = {10.1093/ijl/13.4.264}, interhash = {2cf295031c51f386e78f1c147d8e5548}, intrahash = {f1d88d936cb18f422fbbb0cf2e136b3d}, journal = {International Journal of Lexicography}, keywords = {ijl, lexicography}, month = dec, number = 4, pages = {264--286}, posted-at = {2011-04-28 22:28:57}, priority = {2}, timestamp = {2011-05-04T16:04:29.000+0200}, title = {{EXTRACTING SEMANTIC CLUSTERS FROM MRDs FOR AN ONOMASIOLOGICAL SEARCH DICTIONARY}}, url = {http://dx.doi.org/10.1093/ijl/13.4.264}, volume = 13, year = 2000 }