Introduction
With the amount of textual data increases rapidly, it is important to find not only appropriate, but also more trustworthy answers to user’s natural language questions. Natural language question answering systems have proven to be helpful to users because they can provide succinct answers that do not require users to wade through a large number of documents. In this workshop, we would like to discuss research outcomes of the Korean “Exobrain” project, consisting of natural language processing, information extraction, ontology reasoning and population, question answering technologies.
The theme of this workshop is to discuss recent progress of Natural language question answering technology for providing knowledge services with users.
Call for paper
Important date
Submission Topics
The theme of this workshop is to discuss recent progress of Natural language question answering technology for providing knowledge services with users. Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work related to the following research areas:
-
Natural language question analysis
-
IR-based question answering
-
Knowledge-based question answering
-
Natural language processing
-
Multi-agent communication and problem solving
-
Autonomous intelligent collaboration framework
-
Distributed task planning and execution
-
Ontology-based knowledgebase
-
Knowledge-based negotiation and verification
-
Intention recognition and analysis
-
Information extraction
-
Paraphrasing and textural entailments
-
Ontology population and reasoning
All Comments
Important Date
-
Jan 13
2017
Conference Date
-
Jan 07 2017
Abstract Submission Deadline
-
Jan 13 2017
Registration deadline
Contact Information
- ej******@kiise.or.kr
- 82-*********
Submit Comment