Emora: An Inquisitive Social Chatbot Who Cares For You

Autor:	Finch, Sarah E., Finch, James D., Ahmadvand, Ali, Ingyu, Choi, Dong, Xiangjue, Qi, Ruixiang, Sahijwani, Harshita, Volokhin, Sergey, Wang, Zihan, Wang, Zihao, Choi, Jinho D.
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such experience-focused interaction to the current field of conversational AI. The traditional approach of information-sharing topic handlers is balanced with a focus on opinion-oriented exchanges that Emora delivers, and new conversational abilities are developed that support dialogues that consist of a collaborative understanding and learning process of the partner's life experiences. We present a curated dialogue system that leverages highly expressive natural language templates, powerful intent classification, and ontology resources to provide an engaging and interesting conversational experience to every user. Comment: Published in 3rd Proceedings of Alexa Prize (Alexa Prize 2019)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2009.04617 Zobrazit plný text záznamu View this record from Arxiv