A semantic approach for extracting domain taxonomies from text

1. A semantic approach for extracting domain taxonomies from text Presenter: CHANG, SHIH-JIE Authors: Kevin Meijer, Flavius Frasincar, FrederikHogenboom2014.DSS.

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

3. Motivation • Manually creating a taxonomyis difficult and time consuming process and may not be high quality.

4. Objectives • This paper presents a framework using a semantic approach for the automatic building of a domain taxonomy, called Automatic Taxonomy Construction from Text (ATCT).

5. Methodology    

6.    

7. Methodology – term filtering domain pertinence lexical cohesion domain consensus domain score of term t in domain corpus Di

8. WSD on text corpora WSD on existing taxonomies

9. Methodology – Concept hierarchy creation score(pricing | ‘pricing behavior’) = 0.6 + ½*0.4 +1/3*0.3= 0.9 score(trading| ‘pricing behavior’) = 0.7 + ½*0.3 = 0.85

10. Implementation WSDresult

11. Implementation hierarchy creationresult

12. Experiments semantic precision semantic recall

13. Experiments – core taxonomy V.S. reference taxonomy

14. Experiments – two measures taxonomic precision taxonomic recall global taxonomic precision global taxonomic recall taxonomic F-measure

15. Experiments

16. Experiments

17. Conclusions • ATCT framework can be successfully applied to • other domains than economics and management. • Our approach works well in capturing the • broader–narrower relation between concepts .

18. Comments • Advantages • Define concepts well. • Applications • Built taxonomies 、Term extraction and filtering.