The noetic end-to-end response selection challenge as one track in the 7th Dialog System Technology Challenges (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context. This paper presents our systems that are ranked top 1 on both datasets under this challenge, one focused and small (Advising) and the other more diverse and large (Ubuntu). Previous state-of-the-art models use hierarchy-based (utterance-level and token-level) neural networks to explicitly model the interactions among different turns' utterances for context modeling. In this paper, we investigate a sequential matching model based only on chain sequence for multi-turn response selection. Our results demonstrate that the potentials of sequential matching approaches have not yet been fully exploited in the past for multi-turn response selection. In addition to ranking top 1 in the challenge, the proposed model outperforms all previous models, including state-of-the-art hierarchy-based models, on two large-scale public multi-turn response selection benchmark datasets.
Building Sequential Inference Models for End-to-End Response Selection
National Engineering Laboratory for Speech and Language Information ProcessingUniversity of Science and Technology of China（中国科学技术大学语音及语言信息处理国家工程实验室）；iFLYTEK Research（科大讯飞研究）
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots
State Key Lab of Software Development Environment, Beihang University（北京航空航天大学软件开发环境国家重点实验室）；Microsoft Research（微软研究院）；College of Computer and Control Engineering, Nankai University（南开大学计算机与控制工程学院）
From Myopic Selection to Long-Horizon Awareness: Sequential LLM Routing for Multi-Turn Dialogue
School of Computer Science, Shanghai Jiao Tong University, Shanghai, China（上海交通大学计算机科学学院）；WeChat, Tencent Inc, Beijing, China（腾讯北京研发中心）；University at Buffalo, New York, United States（布法罗大学）
