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Filters: Author is Nagmal, Arati  [Clear All Filters]
2019-12-16
Karve, Shreya, Nagmal, Arati, Papalkar, Sahil, Deshpande, S. A..  2018.  Context Sensitive Conversational Agent Using DNN. 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA). :475–478.
We investigate a method of building a closed domain intelligent conversational agent using deep neural networks. A conversational agent is a dialog system intended to converse with a human, with a coherent structure. Our conversational agent uses a retrieval based model that identifies the intent of the input user query and maps it to a knowledge base to return appropriate results. Human conversations are based on context, but existing conversational agents are context insensitive. To overcome this limitation, our system uses a simple stack based context identification and storage system. The conversational agent generates responses according to the current context of conversation. allowing more human-like conversations.