Slot Filling On Atis

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
CTRAN	0.9846	CTRAN: CNN-Transformer-based Network for Natural Language Understanding
Bi-model with a decoder	0.9689	A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling
JointBERT-CAE	0.961	CAE: Mechanism to Diminish the Class Imbalanced in SLU Slot Filling Task
Stack-Propagation (+BERT)	0.9610	A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
Joint BERT	0.961	BERT for Joint Intent Classification and Slot Filling
Joint BERT + CRF	0.96	BERT for Joint Intent Classification and Slot Filling
AGIF	0.96	AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling
Attention Encoder-Decoder NN	0.9587	Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
Context Encoder	0.9580	Improving Slot Filling by Utilizing Contextual Information
SF-ID	0.958	A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling
DELTA (BLSTM-CRF)	0.952	DELTA: A DEep learning based Language Technology plAtform
Capsule-NLU	0.952	Joint Slot Filling and Intent Detection via Capsule Neural Networks
Slot-Gated BLSTM with Attension	0.948	Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
Joint model with recurrent slot label context	0.9464	Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks

0 of 14 row(s) selected.