ATIS

Overview edit

Variants: ATIS

Associated Benchmarks

This dataset is used in 5 benchmarks:

• Semantic Parsing - Metrics: Accuracy
• Slot Filling - Metrics: F1
• Intent Detection - Metrics: Accuracy
• Intent Discovery - Metrics: ARI
• Open Intent Discovery - Metrics: ACC, ARI, NMI

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• CTRAN: CNN-Transformer-based Network for Natural Language Understanding (2023) -
• A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery (2023) -
• LIDSNet: A Lightweight on-device Intent Detection model using Deep Siamese Network (2021) -
• AGIF: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling (2020) -
• Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement (2019) -
• Improving Slot Filling by Utilizing Contextual Information (2019) -
• A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding (2019) -
• DELTA: A DEep learning based Language Technology plAtform (2019) -
• A Novel Bi-directional Interrelated Model for Joint Intent Detection and Slot Filling (2019) -
• BERT for Joint Intent Classification and Slot Filling (2019) -
• A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling (2018) -
• Joint Slot Filling and Intent Detection via Capsule Neural Networks (2018) -
• TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation (2018) -
• Abstract Syntax Networks for Code Generation and Semantic Parsing (2017) -
• Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks (2016) -
• Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling (2016) -
• Type-Driven Incremental Semantic Parsing with Polymorphism (2014) -