Presenter : Min-Cong Wu Authors : SU NAM KIM , TIMOTHY BALDWIN 2013.NN
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Transcript of Presenter : Min-Cong Wu Authors : SU NAM KIM , TIMOTHY BALDWIN 2013.NN
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Intelligent Database Systems Lab
Presenter : MIN-CONG WUAuthors : SU NAM KIM, TIMOTHY BALDWIN2013.NN
Word Sense and Semantic Relations in Noun Compounds
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Intelligent Database Systems Lab
OutlinesMotivationObjectivesMethodologyExperimentsConclusionsComments
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Intelligent Database Systems Lab
Motivation• Word sense disambiguation is the task of
resolving the sense of word instances, It has been recognized as one of the hardest tasks, most attempts to incorporate WSD in actual applications have been unsuccessful.
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Intelligent Database Systems Lab
Objectives
• To disambiguate word sense, we used sense collocation and lexical substitution, and built supervised and unsupervised WSD classifiers, achieving the purpose of enhancing the accuracy.
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Intelligent Database Systems Lab
Methodology-Sense Restrictions in Noun Compounds
Propose
Improve
semantic relations
modifier head noun
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Intelligent Database Systems Lab
Methodology - OUR METHODS inSupervised Method
either modifier orhead noun
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Intelligent Database Systems Lab
Methodology - OUR METHODS inUnsupervised Method
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Intelligent Database Systems Lab
Methodology - OUR METHODS inUnsupervised Method
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Intelligent Database Systems Lab
Methodology-intSOM_MCDC(m1)
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Intelligent Database Systems Lab
Methodology -supervised
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Intelligent Database Systems Lab
Methodology - unsupervised
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Intelligent Database Systems Lab
Experiment – Artificial interval data set
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Intelligent Database Systems Lab
Conclusions
• we proposed methods can achieving an accuracy, and demonstrated that word sense information for component nouns is vital in NC interpretation.
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Intelligent Database Systems Lab
Comments• Advantages
- enhancing the Word sense accuracyApplications - Word sense disambiguation