(Last updated on January 13, 2017)
All Materiels for

"Discovering Story Chains:
A Framework Based on Zigzagged Search and News Actors
"

Cagri Toraman and Fazli Can
{ctoraman, canf}@cs.bilkent.edu.tr
Bilkent Information Retrieval Group, Computer Engineering Department
Bilkent University, Ankara, Turkey, 06800

 

Important Note: If you use any material listed below, please cite the paper:

...

Material
Description
Text Collection Tagged with Named Entities
Fill in and send this form to canf(at)cs.bilkent.edu.tr to receive the collection.
The social network files. All vertices (news actors) are listed, following with a matrix of edge weights (relations among news actors).
The stopword list.
Output story chains of our algorithm versions and baselines (parameters are written for each algorithm separately).
Executable file that is used by annotators to label chains.
Rar file includes the excel files for the individual annotation labels of two user studies.
A pdf file that explains what tools we use for applying statistical tests, and shows the detailed results for the Conover test and Cohen's d-test.