Simons2017/Generative-ChatBot

Chat-bot to answer the domain specific questions or to talk in human like way Chatbots are also called Conversational Agents or Dialog Systems. The Chatbot implemented in this paper is generative based. The basic algorithm used for developing Chatbot in this paper is Long Short Term Memory which a version of Recurrent Neural Network.

There are 2 models: Generative and Retrieval

Generative Model:
	1 LSTM: it is lstm model trained on movie dialogue corpus. 
		Training - Chatbot_generative_train_LSTM.py
		Testing - Chatbot_generative_test_LSTM.py

	2 LSTM: it is lstm model trained on ubuntu dialogue corpus. 
		Data Processing - Generative_Model_ubuntuDataProcessing.py 				Training - Chatbot_generative_train_Ubuntu.py 
		Testing - Chatbot_generative_test_Ubuntu.py

	3 GRU: it is gru model trained on movie dialogue corpus. 
		Training - Chatbot_generative_train_GRU.py
		Testing - Chatbot_generative_test_GRU.py

Retrieval Model:
	Data Processing - Retrieval_Model_ubuntuDataProcessing.py 				Training - Chatbot_retrieval_train.py
	Testing - Chatbot_retrieval_test.py