1. Advisor: Hsin-Hsi Chen Reporter: Chi-Hsin Yu Date: 2009.12.10 From K-CAP 2009 (ACM conference, 5 th Knowledge CAPture, Begins in 2001, biennially)

2.  Introduction  Extended WordNet Knowledge Base  Proposed Method for Extracting Commonsense Knowledge  Implementation and Results  Applications of Commonsense Knowledge  Conclusion

3.  Commonsense › An average person is assumed to have commonsense k nowledge.  Including spatial, physical, social, temporal, psychological, and others › This knowledge is not communicated most of the time. (assumption)

4.  Related Works › Expert-build: Cyc › Collaborative efforts: OpenMind project (ConceptNet), Mindpixel project, Verbosity  Some proposals link the information obtained by the collaborative effort to known ontologies to expand and structure the commonsense knowledge

5.  XWN (eXtended WordNet) › the words in the WordNet glosses Semantically disambiguated syntactically parsed, Part-Of-Speech tagged transformed in logic forms

6.  XWN-KB is an upper ontology built on top of Extended WordNet (XWN). › semantically parsed and transformed into semantic triples

7.  Examples Timepiece: 計時器 Opening: 穴, 孔 ; 通道

8.  Using › semantic information › Semi-automatic algorithm › 3 meta-rules › 27 commonsense rules

9. Hyponym: type-of, 下義詞

11. Obesity: 肥胖 ; 過胖

12. The array of commonsense rules, I[.]

14. Hyponym: type-of, 下義詞

15. Meronym : Part-Of

19.  Question Answering:  Text Entailment: Specialty: 專業 ; 專長 jimmies : 灑在冰淇 淋上的巧 克力片

20.  The proposed method extracts high precision commonsense rules. › Limitation  Commonsense rule  the incomplete semantic relations in WordNet

21.  How do we define “commonsense knowledge” in definitional way? › Is it needed to have a definition? › Is it related to knowledge categorization? › 對知識分類, 且是對沒有寫在紙上的知識分類  依假設, 人有 commonsense, 但少明確說出來  How do we judge the extracted knowledge? › The importance: in what perspectives? › The validness: in what context? › The usefulness : for what applications?  Should we apply operational criteria to judge the usefulness of extracted knowledge?