P02-1030 70 single word noun terms for thesaurus extraction . To avoid sample bias , the
P02-1030 . The most difficult aspect of thesaurus extraction is evaluating the quality of
E06-1030 documents . 6.1 Method We use the thesaurus extraction system implemented in Curran
P02-1030 following section . The second step in thesaurus extraction performs clustering or nearest-neighbour
E06-1030 than using a search engine . For thesaurus extraction , it achieved similar overall
E09-1074 the related area of automatic thesaurus extraction ( Curran , 2002 ) , where semantic
E06-1030 counts . 6 Thesaurus Extraction Thesaurus extraction is a word similarity task . It
E06-1030 through search engine hit counts . 6 Thesaurus Extraction Thesaurus extraction is a word
P06-1046 3 shows the results of a full thesaurus extraction using the BNC and LARGE corpora
P02-1030 calculate the performance of the thesaurus extraction systems . To help overcome the
E06-1030 unlabelled corpus . Automatic thesaurus extraction is a good alternative to manual
P02-1030 ) . 3 Experiments Vector-space thesaurus extraction can be separated into two independent
P02-1030 representation size . 2 Automatic Thesaurus Extraction Thesauri have traditionally been
J10-4007 , and Yang 1975 ) , automatic thesaurus extraction ( Grefenstette 1994 ) , and predominant
P02-1030 resources . Most existing work on thesaurus extraction and word clustering is based
E06-1030 experiment ) . In the task of thesaurus extraction , the same overall results are
D12-1110 ¨ utze , 1998 ) , automatic thesaurus extraction ( Lin , 1998 ; Curran , 2004
P02-1030 need to be considered . We use thesaurus extraction with a range of context extracting
P02-1030 information extracted by systems such as thesaurus extraction systems can be incorporated into
P02-1030 of the features ) . But also , thesaurus extraction is a task where success has been
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