multi-intent detection

Divide-Solve-Combine: An Interpretable and Accurate Prompting Framework for Zero-shot Multi-Intent Detection AAAI 2025 LCAN: A Label-Aware Contrastive Attention Network for Multi-Intent Recognition and Slot Filling in Task-Oriented Dialogue Systems EMNLP 2025 MIDLM: Multi-Intent Detection with Bidirectional Large Language Models COLING 2025 PICD-Instruct: A Generative Instruction Learning Framework for Few-Shot Multi-Intent Spoken Language Understanding EMNLP 2025 Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment AAAI 2024 BlendX: Complex Multi-Intent Detection with Blended Patterns COLING 2024 DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding EMNLP 2024 Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport AAAI 2024 Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction AAAI 2024 A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding AAAI 2023 OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding ACL 2023 PCMID: Multi-Intent Detection through Supervised Prototypical Contrastive Learning EMNLP 2023 SPM: A Split-Parsing Method for Joint Multi-Intent Detection and Slot Filling ACL 2023 DialogUSR: Complex Dialogue Utterance Splitting and Reformulation for Multiple Intent Detection EMNLP 2022 Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence EMNLP 2022 A Label-Aware BERT Attention Network for Zero-Shot Multi-Intent Detection in Spoken Language Understanding EMNLP 2021 Focus on Interaction: A Novel Dynamic Graph Model for Joint Multiple Intent Detection and Slot Filling IJCAI 2021