Abstract:
People can use our technology to make their lives easier. In order to keep pace with the
current world, we need to automate everything. Sometime it is very difficult to get an
immediate answer after asking any question. In this age of technological revolution,
everything has become machine dependent. So we can't imagine doing anything without
machines now. At present, the models of Deep Learning are working well for Question
answering system. This is why we have done our work using deep based Sequence to
Sequence model for Bengali context based QA system. Where context and question have
been used as part of encoder and answers have been used as a part of decoders. The
Question Answering System for NLP is becoming a potentially huge field of research. The
main focus of our work is to get answer from question automatically. Question Answering
system produce question to answer automatically. Like other languages, we need to expand
our research on Bengali language as there is a dearth of materials needed to research
Bengali language. We tried to work an automatic question answering system for the
Bengali language using general knowledge dataset. For this project, running with the
Bengali language turned into very hard task. However end of the day, we've create a model
for computerized Question Answering System for the Bangla language.
