Domain knowledge enriched framework for restricted domain question answering system

Author

Malik, Nikhil ; Sharan, Aditi ; Biswas, Priyanka

Author_Institution

Sch. of Comput. & Syst. Sci., Jawahar Lal Nehru Univ., New Delhi, India

fYear

2013

fDate

26-28 Dec. 2013

Firstpage

1

Lastpage

7

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.

Keywords

natural language processing; question answering (information retrieval); NLP resources; domain knowledge enriched framework; generic architecture; restricted domain question answering system; restricted domain question answering system development; Computers; Knowledge based systems; Knowledge discovery; Natural languages; Ontologies; Search engines; answer processing; ontology; question Answering; question processing; restricted domain question answering;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Computing Research (ICCIC), 2013 IEEE International Conference on

Conference_Location

Enathi

Print_ISBN

978-1-4799-1594-1

Type

conf

DOI

10.1109/ICCIC.2013.6724163

Filename

6724163