SADAS：面向双语社会文化对话中规范违规修复的对话辅助系统
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations
AI总结：
SADAS是一个针对跨文化对话中规范违规的辅助系统，通过识别规范、检测违规、评估严重性、实施补救并解释理由，采用SOTA技术构建模块，并经实验和人类偏好验证，开源以推动研究。
摘要：
在当今全球化的世界中，弥合文化鸿沟对于建立有意义的联系比以往任何时候都更为关键。社会感知对话辅助系统（SADAS）是我们对这一全球性挑战的回应，它旨在确保来自不同文化背景的个体之间的对话在尊重和理解中进行。我们系统的新颖架构包括：（1）识别对话中存在的规范类别，（2）检测潜在的规范违规行为，（3）评估这些违规行为的严重程度，（4）实施有针对性的补救措施以纠正违规行为，以及（5）阐述这些纠正措施背后的理由。我们采用一系列最先进（SOTA）技术来构建不同模块，并进行大量实验为每个模块选择最合适的骨干模型。我们还设计了一项人类偏好实验来验证系统的整体性能。我们将开源我们的系统（包括源代码、工具和应用），以期推进未来的研究。我们的系统演示视频可在以下网址找到：\url{https://youtu.be/JqetWkfsejk}。我们已在以下网址发布我们的代码和软件：\url{https://github.com/AnonymousEACLDemo/SADAS}。
英文摘要：
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}.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
