Intelligent Database Systems Lab

Presenter : MIN-CONG WUAuthors : SU NAM KIM, TIMOTHY BALDWIN2013.NN

Word Sense and Semantic Relations in Noun Compounds

Intelligent Database Systems Lab

OutlinesMotivationObjectivesMethodologyExperimentsConclusionsComments

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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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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Methodology-Sense Restrictions in Noun Compounds

Propose

Improve

semantic relations

modifier head noun

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Methodology - OUR METHODS inSupervised Method

either modifier orhead noun

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Methodology - OUR METHODS inUnsupervised Method

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Methodology - OUR METHODS inUnsupervised Method

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Methodology-intSOM_MCDC(m1)

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Methodology -supervised

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Methodology - unsupervised

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Experiment – Artificial interval data set

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Conclusions

• we proposed methods can achieving an accuracy, and demonstrated that word sense information for component nouns is vital in NC interpretation.

Intelligent Database Systems Lab

Comments• Advantages

- enhancing the Word sense accuracyApplications - Word sense disambiguation