A Wordnet from the Ground Up

Index 213CBC, see Clustering by Committeechunker, 102, 108, 112classification problem, 131classifier, 50, 131–135, 138–143, 146, 147,166classifier-based approach, 50closehypernym, 148, 152hypernymy, 92, 148hyponym, 148hyponymy, 148clustering, 18, 36, 87, 153Clustering by Committee, 88, 91–100clustering ofdocuments, 88, 91lemmas, 87, 90, 92, 166–168lexical units, 48, 50, 143clustering-based approach, 49, 50co-hyponym, 42, 53, 58, 79, 135, 141,147, 155co-incidence matrix, 63, 65, 67, 72, 76,80, 94, 104, 133, 135, 136co-occurrence matrix, see co-incidencematrixCo-occurrence Retrieval Model, 74Cohen’s kappa, 56collocation, 66concept, 7–10, 13, 18, 20, 24, 96conceptual relation, 10conceptualization, 20, 21constraint, 62context, 8, 10, 11, 20, 23, 50, 62, 149–152, 178conversion, 26–28, 46, 175, 186coordination of adjectives, 71coordinator, 37, 41, 44, 167, 169core plWordNet, 16, 36, 39, 40, 42, 44–47,51, 56, 57, 59, 61, 62, 64, 77, 80,85, 104, 106, 112, 119, 120, 144,163, 165, 169, 172, 176–179CoreNet, 14corpus, 12, 16–18, 36, 47–50, 63, 64, 67,71, 73, 74, 76–78, 87, 101–103,105, 107, 108, 118–122, 125–127,129, 131, 133, 136–138, 141, 143,147, 150, 154, 165–166, 170, 176,180, 183cosine measure, 51, 74, 144cousin, 79cousins, 146–147CRM, see Co-occurrence Retrieval ModelCRM with Mutual Information, 80Croatian WordNet, 19cross parts-of-speech near antonymy, 10cue validity, 90cut-off precision, 120, 126Czech WordNet, 20, 33, 38DanNet, 14, 19data driven approach, 166DEBVisDic, 38, 42decision tree, 138, 139, 144, 145dependency parser, 64derivation, 21, 33derivational relation, 10, 24, 32, 40, 175,181derivative, 32–34deterministic parser, 64detractor, 52, 58, 60dictionary-based approach, 77diminutive form, 33, 34directhypernym, 145, 147, 152, 178hyponym, 147, 178, 180direct hypernymy, 53distributional association, 48Distributional Hypothesis, 49, 61, 62Distributional Semantics, 17, 18, 144, 145distributional similarity, 49