A Wordnet from the Ground Up

More documents

Recommendations

Info

4.5. Hybrid Combinations 157Figure 4.10:An almost correct attachment suggested by WNW for semestr ‘semester’. Glosses: czas‘time’, okres ‘period’, rok ‘year’, półrocze ‘semester, half-year’, miesiąc ‘month’, wrzesień‘September’, październik ‘October’, grudzień ‘December’considered LU received high scores in relation to many glass dishes, but those wereoutweighed by synsets in the lower part that denote different types of bottles.The first attachment proposed for dzięcioł ‘woodpecker’ is predictable (Figure 4.13),since WNW’s precision is high for animal names. The second proposed sense mayseem to be an error but sikorka ‘tit’ is not so far from the meaning of dzięcioł ‘woodpecker’in the school jargon (someone who is believed to spend much time memorisingschool material). So, the second sense is a person, thus a distant hyponym of sikorka‘girl’. Still, what matters is probably only the accidental similarity of dzięcioł andsikorka as birds.Attachments for urna ‘urn’ presented in Figure 4.14 have been generated only basedon weak fitness (MSR RW F ) values. On average, attachment proposals computed fromweak fitness are of lower quality, but not in this case. Two proposed senses show a caseof regular polysemy characteristic for many Polish LUs in plWordNet that denote acontainer. They have a thing sense and a place sense.Two of the four attachment points (all based on weak fitness) for sztaba ‘bar (ofmetal)’ are the result of an error introduced by the TaKIPI tagger when preprocessing
158 Chapter 4. Extracting Relation InstancesFigure 4.11:Two correct senses and one closely related, which WNW predicted for statuetka ‘figurine’.Glosses: wyróżnienie ‘distinction’, nagroda ‘award’, odznaczenie ‘honour, decoration’, premia‘bonus’, puchar ‘cup’, medal ‘medal’, rzeźba ‘sculpture’, popiersie ‘bust’, figura ‘figure= image’, odznaka ‘honour, decoration’the joint corpus 19 . Several word forms of the LU sztaba are shared with the wordforms of the LU sztab ‘staff = command centre’:• selected word forms of sztaba:sztaby nmb=sg,case=gen , sztaby nmb=pl,case=nom , sztabie nmb=sg,case=dat ,sztabie nmb=sg,case=loc , sztabie nmb=sg,case=loc , sztabie nmb=pl,case=voc , . . . ;• selected word forms of sztab:sztaby nmb=pl,case=nom , sztaby nmb=pl,case=voc , sztabie nmb=sg,case=loc ,sztabie nmb=sg,case=voc .The other two attachment proposal for sztaba are semantically related but not veryaccurate. Both are based only on weak fitness. That is why we differentiate strong andweak fitness by different symbols on the screen. This example also shows the role ofmultiple criteria in WNW.19 Such errors are rather rare, good news given TaKIPI’s solid but not stellar accuracy.
Page 1 and 2:
A Wordnetfrom the Ground Up
Page 3 and 4:
Work financed by the Polish Ministr
Page 7 and 8:
6 Prefaceheartfelt thanks go to all
Page 9:
8 Chapter 1. Motivation, Goals, Ear
Page 12 and 13:
1.1. Motivation 11[a] special form
Page 14 and 15:
1.1. Motivation 13Affect (Strappara
Page 16 and 17:
1.2. The Goals of the plWordNet Pro
Page 18 and 19:
1.2. The Goals of the plWordNet Pro
Page 20 and 21:
1.3. Early Decisions 19Merge Model:
Page 22:
1.3. Early Decisions 214. On the ot
Page 25 and 26:
24 Chapter 2. Building a Wordnet Co
Page 27 and 28:
Page 29 and 30:
Page 31 and 32:
Page 33 and 34:
Page 35 and 36:
Page 37 and 38:
Page 39 and 40:
Page 41 and 42:
Page 43 and 44:
Page 45 and 46:
Page 47 and 48:
Page 49 and 50:
48 Chapter 3. Discovering Semantic
Page 51 and 52:
Page 53 and 54:
Page 55 and 56:
Page 57 and 58:
Page 59 and 60:
Page 61 and 62:
Page 63 and 64:
Page 65 and 66:
Page 67 and 68:
Page 69 and 70:
Page 71 and 72:
Page 73 and 74:
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
102 Chapter 4. Extracting Relation
Page 105 and 106:
104 Chapter 4. Extracting Relation
Page 107 and 108: 106 Chapter 4. Extracting Relation
Page 157: 156 Chapter 4. Extracting Relation
Page 167 and 168: 166 Chapter 5. Polish WordNet Today
Page 186 and 187: Appendix ATests for Lexico-semantic
Page 188 and 189: 187Test for adjectives (T. IX)1. p1
Page 190 and 191: 189RelatednessTest for nouns (T. XV
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
show all

A Wordnet from the Ground Up

Create successful ePaper yourself

Delete template?

Save as template?