• Nikki Singh
• Dr. Sachin Bojewar

A conversation between humans and computers is regarded as one of the most hard-core problems in computer science, which involves interdisciplinary techniques in information retrieval, Machine Learning, natural language processing, and artificial intelligence. It is an Interactive Entity which automatically generates conversations to exchange information smoothly between people with little knowledge of the computer. The challenges lie in how to respond so as to maintain a relevant and continuous conversation with humans. This research applies a generative model-based method for conversation generation. This research is for the development of conversational agent, which generates conversations using recurrent neural network and its coupled memory unit.

Neural conversational model, seq2seq, LSTM, RNN, Conversational model, generative model.

"Generative Dialogue System using Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.146-150, May 2019, Available :http://www.jetir.org/papers/JETIRCS06034.pdf

"Generative Dialogue System using Neural Network ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp146-150, May 2019, Available at : http://www.jetir.org/papers/JETIRCS06034.pdf