HyperAI

Slot Filling On Mixatis

المقاييس

Micro F1

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج
Micro F1
Paper TitleRepository
Co-guiding Net89.8Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs
TFMN (PACL)86.7A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU-
MISCA90.5MISCA: A Joint Model for Multiple Intent Detection and Slot Filling with Intent-Slot Co-Attention
DGIF88.5A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding-
Global Intent-Slot Co-occurence88.5Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence
SSRAN89.4A Scope Sensitive and Result Attentive Model for Multi-Intent Spoken Language Understanding-
Uni-MIS88.3Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction
GL-GIN88.3GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling
BiSLU89.4Joint Multiple Intent Detection and Slot Filling with Supervised Contrastive Learning and Self-Distillation
UGEN89.2Incorporating Instructional Prompts into a Unified Generative Framework for Joint Multiple Intent Detection and Slot Filling
Topic Information88.7Exploiting Topic Information for Joint Intent Detection and Slot Filling-
RoBERTa (PACL)86.0A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU-
TFMN88.0A Transformer-based Threshold-Free Framework for Multi-Intent NLU-
SLIM88.5SLIM: Explicit Slot-Intent Mapping with BERT for Joint Multi-Intent Detection and Slot Filling
SLIM (PACL)87.3A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU-
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