The role of context in question answering systems
CHI '03 Extended Abstracts on Human Factors in Computing Systems
A Knowledge-Based Question Answering System for B2C eCommerce
ITNG '08 Proceedings of the Fifth International Conference on Information Technology: New Generations
Domain Ontology Based Automatic Question Answering
ICCET '09 Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02
A (very) brief introduction to fluid construction grammar
ScaNaLU '06 Proceedings of the Third Workshop on Scalable Natural Language Understanding
How useful are natural language interfaces to the semantic web for casual end-users?
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Unify and merge in fluid construction grammar
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
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Closed domains pose very specific problems to applications of all kinds. While e.g. search applications in open domains can access a huge pool of diverse information (e.g. in the internet), this is not possible for closed domains. An example application for this problem are customer support systems. These systems normally administrated by humans have to cope with different types of requests, e.g. a user asking not only a single question, but also giving a description of an experienced situation. Analyzing those complex requests is very difficult in general. Therefore it is nearly impossible to handle for common search, question-answer or customer support systems. In this paper we propose a system which should be capable of (semi-) automatically analyzing and reacting to different types of requests in closed domains based on a cognitive linguistics approach.