160 likes | 178 Views
Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge. Presenter : Jiang-Shan Wang Authors : Xianpei Han, Jun Zhao. 國立雲林科技大學 National Yunlin University of Science and Technology. CIKM 2009. Outline. Motivation Objective Method Experiment Conclusion Comments.
E N D
Named Entity Disambiguation by Leveraging Wikipedia Semantic Knowledge Presenter : Jiang-Shan Wang Authors : Xianpei Han, Jun Zhao 國立雲林科技大學 National Yunlin University of Science and Technology CIKM 2009
Outline • Motivation • Objective • Method • Experiment • Conclusion • Comments
Motivation • The traditional bag of words (BOW) based methods ignores: • Semantic relations • Associative relatedness • Polysemy • Synonymy • The social network based methods: • Only capture a special type of semantic relations • Limited coverage
Objective To proposes a disambiguation method using Wikipedia as background knowledge.
Method • Wikipedia semantic knowledge • Wikipedia concepts • Surface forms of Wikipedia concepts • Semantic relations between Wikipedia concepts • Semantic relatedness between Wikipedia concepts • Named entity disambiguation • Representing name observation • Measuring the similarity between name observations • Grouping name observations
Method Wikipedia concepts Surface forms of Wikipedia concepts
Method Semantic relations between Wikipedia concepts Semantic relatedness
Method • Representing name observation • Surface form identification • Mapping surface forms to concepts • Concepts weight and pruning
Method • Measuring the similarity
Method • Measuring the similarity
Method • Grouping name observations
Experiment WePS1 WePS2
Conclusion • This method can achieve appealing results: • It get 10.7% improvement over the traditional BOW based method • It get 16.7% improvement over the traditional social network based method
Comments • Advantage • Good semantic knowledge base. • Drawback • Application • Information retrieval • Disambiguation