MixSNIPS

Overview edit

Variants: MixSNIPS

Associated Benchmarks

This dataset is used in 2 benchmarks:

• Slot Filling - Metrics: Micro F1
• Intent Detection - Metrics: Accuracy, f1 macro

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU (2024) -
• MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention (2023) -
• Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation (2023) -
• A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding (2022) -
• A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding (2022) -
• Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs (2022) -
• SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling (2021) -
• GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling (2021) -
• AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling (2020) -