Linguistically-Enriched and Context-AwareZero-shot Slot Filling

Author:

Siddique A.B.1,Jamour Fuad1,Hristidis Vagelis1

Affiliation:

1. University of California, Riverside, USA

Publisher

ACM

Cited by 18 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

1. Personality prediction from task-oriented and open-domain human–machine dialogues;Scientific Reports;2024-02-16

2. Model-Agnostic Zero-Shot Intent Detection via Contrastive Transfer Learning;International Journal of Semantic Computing;2024-02-01

3. A Prompt-Based Hierarchical Pipeline for Cross-Domain Slot Filling;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Toward Open-domain Slot Filling via Self-supervised Co-training;Proceedings of the ACM Web Conference 2023;2023-04-30

5. Proactive Conversational Agents;Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining;2023-02-27

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