1 / 14

Presenter : Min-Cong Wu Authors : SU NAM KIM , TIMOTHY BALDWIN 2013.NN

Word Sense and Semantic Relations in Noun Compounds. Presenter : Min-Cong Wu Authors : SU NAM KIM , TIMOTHY BALDWIN 2013.NN. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

malana
Download Presentation

Presenter : Min-Cong Wu Authors : SU NAM KIM , TIMOTHY BALDWIN 2013.NN

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Word Sense and Semantic Relations in Noun Compounds Presenter : Min-Cong WuAuthors : SU NAM KIM, TIMOTHY BALDWIN2013.NN

  2. Outlines • Motivation • Objectives • Methodology • Experiments • Conclusions • Comments

  3. 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.

  4. 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.

  5. Methodology-Sense Restrictions in Noun Compounds Propose semantic relations modifier head noun Improve

  6. Methodology -OUR METHODS inSupervised Method either modifier or head noun

  7. Methodology -OUR METHODS inUnsupervised Method

  8. Methodology -OUR METHODS inUnsupervised Method

  9. Methodology-intSOM_MCDC(m1)

  10. Methodology -supervised

  11. Methodology - unsupervised

  12. Experiment – Artificial interval data set

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

  14. Comments • Advantages - enhancing the Word sense accuracy Applications - Word sense disambiguation

More Related