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A Wordnet from the Ground Up

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Index 219SUMO, 14Supported Vector Machines, 132, 141Swigra, 66synonym, 7, 20, 24, 28, 31, 35, 38, 52,58, 79, 84, 148synonymy, 8, 9, 11, 17, 21, 23–27, 52,149, 152, 160, 177, 178, 185test, 52, 92synset, 7–11, 13, 15, 17, 19–21, 23–46,53, 54, 57, 58, 77, 87, 96–97,130, 143, 144, 148–153, 155, 157,160, 163, 169–180, 182editing perspective, 42perspective, 39–42, 44probability, 51, 96properties, 40relation, 27, 40–42similarity, 96size, 54, 172syntacticdependency relation, 64relation, 64, 65, 135t-score measure, 74, 125, 134, 136TaKIPI, 66, 103, 157, 158target synset, 40, 42taxonomy, 11Test of English as a Foreign Language,52–53, 63TextSegmentation, 12Summarisation, 12text window, 63–65, 111, 134, 145Textual Entailment, 12The IPI PAN Corpus, 36<strong>the</strong>saurus, 7, 8, 15, 19, 50TOEFL, see Test of English as a ForeignLanguagetoken, 36, 37, 67, 68, 77, 103, 112, 121,154, 176transformation, 73, 74troponym, 28, 29troponymy, 9, 26, 28, 29, 46, 175, 188vector similarity measure, 74Vector Space Model, 88verb constraint, 83verbalhypernymy, 29lemmas, 80lexical unit, 29, 54, 56, 70, 72, 85,170, 172, 173, 180, 182verbs, 9, 21, 28–29, 31–33, 37, 64, 67,70, 73, 80, 84, 85, 166, 170, 181,182VisDic, 38WBST, see WordNet-Based Synonymy TestWBST with Hypernyms, 53–61, 77–78,80, 98, 137WBST+H, see WBST with Hypernymsweak fit, 150–152, 157–158, 163, 164weighted voting, 149, 150weighting, 65, 73, 74, 76, 80Weka, 138Wikipedia, 131WNW, see WordNet Weaverword form, 8, 17, 24, 36, 41, 42, 45, 61,65, 66, 68, 78, 112, 116, 117,129, 158Word Sense Disambiguation, 11–12, 182Word Space, 63WordNet, see Princeton WordNetDomains, 13wordnet, 7–19, 21, 36–38, 45, 50, 51, 53,87, 143, 144, 148, 149, 151, 152,155, 163, 164, 171, 176–179, 181,182expansion, 16, 107, 126, 130, 134,143, 148, 154, 164, 175, 179translation, 19

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