Class name guided out-of-scope intent classification

• Main Authors: GAUTAM, Chandan, PARAMESWARAN, Sethupathy, KANE, Aditya, FANG, Yuan, RAMASAMY, Savitha, SUNDARAM, Suresh, SAHU, Sunil Kumar, LI, Xiaoli
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Out-of-scope intent classification; Dialogue systems; Class label semantics; Out-of-scope intent detection; Artificial Intelligence and Robotics; Computer Sciences
• Online Access: https://ink.library.smu.edu.sg/sis_research/9752; https://ink.library.smu.edu.sg/context/sis_research/article/10752/viewcontent/EMNLP24Findings_SCOOS.pdf
• Institution: Singapore Management University

The paper introduces Semantics of Class Labelbased Unsupervised Out of Scope Intent Detection (SCOOS), a novel method aimed at enhancing out-of-scope (OOS) intent classification in task-oriented dialogue systems. Unlike prior approaches that rely solely on indomain (ID) data features, SCOOS leverage...