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Outline 1. Introduction LTJ, 2 min. 2. Characteristics of the DDO LTJ, 5 min. 3. Building DanNet BSP, 8 min. 4. Extraction of differentia info JA, 7 min. 5. Conclusions JA, 2 min
• • • DanNet Lexical-semantic <strong>wordnet</strong> for Danish Joint project • • Society for Danish Language and Literature Centre for Language Technology, University of Copenhagen 4 years (2005 – 2008), ~ 400,000 €
Page 1: DanNet From Dictionary to Wordnet J
Page 5 and 6: 1. Introduction Outline 2. Characte
Page 7 and 8: • • • • Den Danske Ordbog W
Page 9 and 10: Semantic description Systematic dom
Page 11 and 12: Semantic description Hyperonym
Page 13 and 14: Semantic description Collocational
Page 15 and 16: Semantic description
Page 17 and 18: 1. Introduction Outline 2. Characte
Page 19 and 20: Homonymy & polysemy celle ‚cell
Page 21 and 22: informatik ‚informatics‘ Establ
Page 23 and 24: Example: Hyponymy? kirsebærtræ
Page 26 and 27: Building the hierarchy TOP genstand
Page 28 and 29: Building the hierarchy TOP genstand
Page 30 and 31: • • Coding relations What is do
Page 32 and 33: Extraction of telic role fjernsyn
Page 34 and 35: Extraction of telic role fjernsyn
Page 36 and 37: Hypothesis
Page 38 and 39: Hypothesis Corpus query ‣ VPs in
Page 40 and 41: Results of corpus query query VP he
Page 42 and 43: Why this bad coverage?
Page 44 and 45: Why this bad coverage? 1. Definitio
Page 46 and 47: 1. GE that can VP-inf 2. GE that is
Page 48 and 49: A statistical approach
Page 50 and 51: • A statistical approach Frequenc
Page 52 and 53:
• • A statistical approach Freq
Page 54 and 55:
• • • • • • Some salien
Page 56 and 57:
Automatic extraction?
Page 58 and 59:
Automatic extraction? • Structura
Page 60 and 61:
Automatic extraction? • ‣ ‣ S
Page 62 and 63:
1. Introduction Outline 2. Characte
Page 64 and 65:
Cheap Expensive Conclusion Reusing
Page 66 and 67:
Cheap Expensive Conclusion Reusing
Page 68 and 69:
Conclusion The DanNet approach
Page 70 and 71:
Cheap Expensive Conclusion The DanN
Page 72:
Cheap Expensive Conclusion The DanN
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