As the technology of natural language understanding and language generation improve, there is increasing
human interest towards human-computer interaction, which can be used for various applications such as customer
services, travel, and much more. Well known examples of conversational AI are Apple’s Siri, Amazon’s Alexa,
Microsoft’s Cortana and Google’s Google Assistant.
Most work related on this field are emphasizing on single sentence or speaker turn. While sometimes a conversation
has their own context according to previous conversation. Designing this kind of conversational system
is challenging, most of the time conversational agent are built based on knowledge based system and rule based
system. By building a conversational agent with data driven approaches, which learn from a corpus we could
improve the amount of time and effort needed to create a rule based system.
Keywords : natural language understanding, dialogue system, conversational agent, LSTM