Intent Recognition in Dialogue Systems
This paper reviews the evolution of intent recognition in dialogue systems, from traditional machine learning methods to modern deep learning and large language models (LLMs). It highlights challenges in open environments, such as unknown intents and adversarial attacks, and explores recent advancements, including generative models and adaptive optimization.
Authors
- Yuhan Chen (ORCID: https://orcid.org/0000-0002-3399-7674)
- Zhou Ran (ORCID: https://orcid.org/0009-0007-9937-4422)
- Qingwei Jiang (ORCID: https://orcid.org/0009-0008-7918-0521)
- E Kunpeng (ORCID: https://orcid.org/0009-0005-2029-7387)
Institutions
- Chongqing University (CN)
Publication Details
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1145/3718491.3718520
- Citations
- 2
- Primary Topic
- Speech and dialogue systems
- Type
- article
- Field-Weighted Citation Impact
- 0.69