XPersona: Evaluating Multilingual Personalized Chatbot

17 Mar 2020Zhaojiang LinZihan LiuGenta Indra WinataSamuel CahyawijayaAndrea MadottoYejin BangEtsuko IshiiPascale Fung

Personalized dialogue systems are an essential step toward better human-machine interaction. Existing personalized dialogue agents rely on properly designed conversational datasets, which are mostly monolingual (e.g., English), which greatly limits the usage of conversational agents in other languages... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet