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CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots., , , and . EMNLP/IJCNLP (1), page 1285-1290. Association for Computational Linguistics, (2019)NatCS: Eliciting Natural Customer Support Dialogues., , , , , and . ACL (Findings), page 9652-9677. Association for Computational Linguistics, (2023)Simple, Fast, Accurate Intent Classification and Slot Labeling for Goal-Oriented Dialogue Systems., , and . SIGdial, page 46-55. Association for Computational Linguistics, (2019)Goal-Embedded Dual Hierarchical Model for Task-Oriented Dialogue Generation., , and . CoNLL, page 798-811. Association for Computational Linguistics, (2019)Simple, Fast, Accurate Intent Classification and Slot Labeling., , and . CoRR, (2019)Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System., , , , , , and . ACL (1), page 4661-4676. Association for Computational Linguistics, (2022)MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets., , , , , , , , , and . CoRR, (2024)MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets., , , , , , , , , and . NAACL-HLT, page 5150-5167. Association for Computational Linguistics, (2024)FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs., , , , and . NAACL-HLT, page 517-539. Association for Computational Linguistics, (2024)