SADAS: A Dialogue Assistant System Towards Remediating Norm Violations
  in Bilingual Socio-Cultural Conversations
Yuncheng Hua Zhuang Li Linhao Luo Kadek Ananta Satriadi Tao Feng Haolan Zhan Lizhen Qu Suraj Sharma Ingrid Zukerman Zhaleh Semnani-Azad Gholamreza Haffari
In today's globalized world, bridging the cultural divide is more critical
than ever for forging meaningful connections. The Socially-Aware Dialogue
Assistant System (SADAS) is our answer to this global challenge, and it's
designed to ensure that conversations between individuals from diverse cultural
backgrounds unfold with respect and understanding. Our system's novel
architecture includes: (1) identifying the categories of norms present in the
dialogue, (2) detecting potential norm violations, (3) evaluating the severity
of these violations, (4) implementing targeted remedies to rectify the
breaches, and (5) articulates the rationale behind these corrective actions. We
employ a series of State-Of-The-Art (SOTA) techniques to build different
modules, and conduct numerous experiments to select the most suitable backbone
model for each of the modules. We also design a human preference experiment to
validate the overall performance of the system. We will open-source our system
(including source code, tools and applications), hoping to advance future
research. A demo video of our system can be found
at:~\url{https://youtu.be/JqetWkfsejk}. We have released our code and software
at:~\url{https://github.com/AnonymousEACLDemo/SADAS}.