posted by user: Honghan2016 || 1392 views || tracked by 6 users: [display]

CCKS-Challenge 2016 : CCKS2016 - Call for Task Proposals

FacebookTwitterLinkedInGoogle

Link: http://www.ccks2016.cn/ccks2016-callfor.html
 
When Sep 19, 2016 - Sep 22, 2016
Where Beijing
Submission Deadline Apr 5, 2016
Notification Due Apr 10, 2016
Final Version Due Apr 10, 2016
Categories    knowledge graph   semantic web   artificial intelligence   natural language processing
 

Call For Papers

In CCKS2016(China Conference on Knowledge Graph and Semantic Computing), we plan to organize an evaluation workshop for researchers to test their techniques, algorithm or systems over knowledge. Therefore, it is time to call for task proposals for the workshop in this year. All practitioners will be invited to attend the conference and share their innovative methods, experiences and ideas. The evaluation schedule is as follows:

IMPORTANT DATES:
• April 5, 2016 Task Proposals Due
• April 10, 2016 Acceptance Notification
• April 15, 2016 Task Registration Start
• May 1, 2016 Evaluation Data Release
• August 15, 2016 Result Submit and Evaluation Due
• September 5, 2016 Paper Due

ORGANIZATION COMMITTEE:
• Kang LIU, Institute of Automation, China Academy of Science (kliu@nlpr.ia.ac.cn)
• Zhichun WANG, Beijing Normal University (zcwang@bnu.edu.cn)

Related Resources

IJCAI 2017   International Joint Conference on Artificial Intelligence
KDD 2017   Call for Workshop Proposals
IROS 2017   IEEE/RSJ International Conference on Intelligent Robots and Systems
CCKS 2016   China Conference on Knowledge Graph and Semantic Computing
ACL 2017   The 55th annual meeting of the Association for Computational Linguistics
ESWC 2016   3th Extended Semantic Web Conference - Call for Semantic Web Challenges Proposals
ISMIS 2017   23rd International Symposium on Methodologies for Intelligent Systems
KDD 2017   Call for Research Papers
CoNLL Shared Task 2016   Multilingual Shallow Discourse Parsing (CoNLL 2016 Shared Task)
ICONIP 2017   International Conference on Neural Information Processing