| Title | Context Sensitive Conversational Agent Using DNN |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Karve, Shreya, Nagmal, Arati, Papalkar, Sahil, Deshpande, S. A. |
| Conference Name | 2018 Second International Conference on Electronics, Communication and Aerospace Technology (ICECA) |
| Keywords | Aerospace electronics, Computational modeling, Conferences, context identification, context sensitive conversational agent, conversation agents, conversational agent, Coversational Agent, Deep Learning, deep neural networks, dialog system, DNN, Human Behavior, information retrieval, intelligent conversational agent, interactive systems, knowledge base, knowledge based systems, machine learning algorithms, Metrics, multi-agent systems, natural language processing, neural nets, Neural networks, pubcrawl, query processing, Scalability, software agents, speech processing, storage system, user query |
| Abstract | 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. |
| DOI | 10.1109/ICECA.2018.8474645 |
| Citation Key | karve_context_2018 |
Context Sensitive Conversational Agent Using DNN