The proposed chat-oriented dialogue system can make users think the system understands the user’s utterances.
By understanding the user’s utterances as an event structure (a group of time, place, person, etc.), we achieve a
chat-oriented dialogue system that can sympathize and delve into topics during a chat. To understand a user’s
events from the user’s utterances, a system must understand various words/phrases in user utterances. To tackle
this problem, we focus on general words and phrases that are familiar in a chatting situation but difficult to extract
by conventional methods. Using this technology, systems can extract a user’s utterances by organizing the
extracted information. In the future, we aim to foster a world where humans can converse with systems like
humans with mutual understanding by grounding the extracted information to the system and external knowledge.
Hiromi Narimatsu, Interaction Research Group, Innovative Communication Laboratory