Domain knowledge enriched framework for restricted domain question answering system
Nidhi Malik, Aditi Sharan, Payal Biswas
Abstract
Nidhi Malik, Aditi Sharan, Payal Biswas
Abstract
The field of question answering is a very fertile area of research. Till now most of the work that has been done in this area is either in open or closed domain. Restricted domain question answering is emerging as more appropriate and challenging area of research. This paper presents a generic architecture for development of a restricted domain question answering system with a focus on domain knowledge. The paper emphasizes on intelligently combining the domain knowledge and NLP resources in different stages of development of the system.
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The field of question answering is a very fertile area of research. Till now most of the work that has been done in this area is either in open or closed domain. Restricted domain question answering is emerging as more appropriate and challenging area of research. This paper presents a generic architecture for development of a restricted domain question answering system with a focus on domain knowledge. The paper emphasizes on intelligently combining the domain knowledge and NLP resources in different stages of development of the system.
Key concepts: Question answering, Domain (mathematical analysis), Computer science, Open domain, Focus (optics), Field (mathematics), Domain model, Domain knowledge