A Wordnet from the Ground Up

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189RelatednessTest for nouns (T. XV)1. X gerund is derived from Y verb reading ← read2. X noun is derived from Y adjectiveheight ← highblackness ← blackTest for verbs (T. XVI)1. Y is a perfective form of X have painted ‘pomalować’ ← paint(a wall) ‘malować’have painted ‘namalować’ ← paint(a picture) ‘malować’2. X verb is to cause to be Y adjective sadden is to cause to be sadTest for adjectives (T. XVII)1. X adjective is derived from Y noun school attributive ‘szkolny’ ← school‘szkoła’2. X participle is derived from Y verba. X refers to an ongoing activity reading participle ‘czytający’ ← read‘czytać’b. X refers to a state or a completedactivityread past participle‘czytać’‘czytany’ ← read
190 Appendix A. Tests for Lexico-semantic RelationsPertainymyTest for nouns (T. XVIII)1. Y noun is such thata. X verb, adjective or noun is an attributeof Ybeard ‘broda’ ← bearded (man) ‘brodacz’,strange ‘dziwny’ ← someonestrange (eccentric) ‘dziwak’b. Y is a place for doing X verb assembly ‘montować’ ← assemblyroom ‘montownia’2. Y is what X does a cleaning person ‘czyściciel’ ←clean ‘czyścić’3. X noun can be paraphrased as female painter (feminine) ‘malarka’ ←Y noun painter (masculine) ‘malarz’, mare← stallionkitten ‘←’ cat ‘,’ foal ‘←’ horse ‘4. X noun can be paraphrased as young,juvenile Y noun’5. X noun can be paraphrased asa. small/large Y noun large dog ‘psisko’ ← dog ‘pies’,doggy ‘piesek’ ← dog ‘pies’b. expressing positive/negative feelingsabout Y nounsmall child ‘dziecinka’ ← child‘dziecko’, little (poor) woman ‘kobiecina’← woman ‘kobieta’6. X noun means a citizen of Y noun orsomeone living in Y nounPole ← Poland, Texan ← TexasTest for adjectives (T. XIX)1. X is Y with a positive emotional attitudetiny ‘maleńki, malutki’ ← small‘mały’
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A Wordnetfrom the Ground Up
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Work financed by the Polish Ministr
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6 Prefaceheartfelt thanks go to all
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8 Chapter 1. Motivation, Goals, Ear
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1.1. Motivation 11[a] special form
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1.1. Motivation 13Affect (Strappara
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1.2. The Goals of the plWordNet Pro
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1.2. The Goals of the plWordNet Pro
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1.3. Early Decisions 19Merge Model:
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1.3. Early Decisions 214. On the ot
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24 Chapter 2. Building a Wordnet Co
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48 Chapter 3. Discovering Semantic
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102 Chapter 4. Extracting Relation
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Page 192 and 193: BibliographyAgarwal, Abhaya and Alo
Page 194 and 195: Bibliography 193on Deep Lexical Acq
Page 196 and 197: Bibliography 195Derwojedowa, Magdal
Page 198 and 199: Bibliography 197Grefenstette, Grego
Page 200 and 201: Bibliography 199Kurc, Roman. (2008)
Page 202 and 203: Bibliography 201Mohammad, Saif and
Page 204 and 205: Bibliography 203. (2006) “The pot
Page 206 and 207: Bibliography 205and Technology 7(1-
Page 208 and 209: List of Tables2.1 The size of the c
Page 210 and 211: List of Figures2.1 The LU perspecti
Page 212 and 213: List of Figures 2114.16 Completely
Page 214 and 215: Index 213CBC, see Clustering by Com
Page 216 and 217: Index 215169, 177, 178, 180, 182hyp
Page 218 and 219: Index 217mutual hypernymy, 24Mutual
Page 220 and 221: Index 219SUMO, 14Supported Vector M
Page 222: A language without a wordnet is at
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A Wordnet from the Ground Up

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