Talk given at the 4th International DBpedia Meeting in Poznan, Poland.

1. Cutting Long Stories Short
Fact Extraction from Wikipedia
Marco Fossati
fossati@spaziodati.eu
Poznan, 25th June 2015

2. What?
A Google Summer of Code Project for DBpedia

3. What?
Teaching Machines
to Read
Natural Language

4. Why?
Text Contains a Huge Amount of Knowledge

5. Why?
DBpedia Focuses on Semi-structured Data
Discovery of New Relations
Automatic Knowledge Base Population

6. How?
Machine Learning
+
Lexical Semantics

7. How?
Poland victory World Cup 2014
“Poland won the World Cup in 2014”

8. Approach
1. Lexical Units
1.1.Extraction via POS Tagging
1.2.Statistical Ranking
2. Frame Database (FrameNet, Kicktionary)
The Data-driven Way

9. Approach
3. Frame + Frame Elements Classification
Unsupervised, Rule-based
Supervised
4. Crowdsourced Training Set Construction
5. RDF Serialization
The Data-driven Way

10. Crowdsourcing the Annotation
Label words with Frame Elements

11. Use Case
Soccer Domain
Widely Represented (223.000 articles)
Lots of Semi-structured Data
Italian Wikipedia

12. Wanna contribute?
https://github.com/dbpedia/
fact-extractor

13. That’s all Folks!
Marco Fossati
fossati@spaziodati.eu