Semi-supervised new slot discovery with incremental clustering

• Main Authors: WU, Yuxia, LIAO, Lizi, QIAN, Xuemin, CHUA, Tat-Seng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Incremental data; Incremental cluster; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/7736
• Institution: Singapore Management University

Discovering new slots is critical to the success of dialogue systems. Most existing methods rely on automatic slot induction in an unsupervised fashion or perform domain adaptation across zero or few-shot scenarios. They have difficulties in providing high-quality supervised signals to learn cluster...