How Time Matters: Learning Time-Decay Attention for Contextual Spoken Language Understanding in Dialogues

Author:

Su Shang-Yu,Yuan Pei-Chieh,Chen Yun-Nung

Publisher

Association for Computational Linguistics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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3. TemporalMed: Advancing Medical Dialogues with Time-Aware Responses in Large Language Models;Proceedings of the 17th ACM International Conference on Web Search and Data Mining;2024-03-04

4. Joint Dual Learning With Mutual Information Maximization for Natural Language Understanding and Generation in Dialogues;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. CTMSN-EHI: A Context-Aware Time-Decay Multi-Head Self-Attention Network with Enhanced History Information for Multi- Turn Spoken Language Understanding;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12

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