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SotA/Natural Language Processing/Intent Detection/MixATIS

Intent Detection on MixATIS

Metric: Accuracy (higher is better)

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Results

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#Model↕Accuracy▼Extra DataPaperDate↕Code
1DGIF83.3NoA Dynamic Graph Interactive Framework with Label...2022-11-08-
2UGEN83No--Code
3TFMN (PACL)82.9NoA Two-Stage Prediction-Aware Contrastive Learnin...2024-05-05-
4SLIM (PACL)81.9NoA Two-Stage Prediction-Aware Contrastive Learnin...2024-05-05-
5BiSLU81.5NoJoint Multiple Intent Detection and Slot Filling...2023-08-28Code
6TFMN79.8No---
7RoBERTa (PACL)79.1NoA Two-Stage Prediction-Aware Contrastive Learnin...2024-05-05-
8Co-guiding Net79.1NoCo-guiding Net: Achieving Mutual Guidances betwe...2022-10-19Code
9Uni-MIS78.5No--Code
10SLIM78.3NoSLIM: Explicit Slot-Intent Mapping with BERT for...2021-08-26Code
11SSRAN77.9NoA Scope Sensitive and Result Attentive Model for...2022-11-22-
12MISCA76.7NoMISCA: A Joint Model for Multiple Intent Detecti...2023-12-10Code
13GL-GIN76.3NoGL-GIN: Fast and Accurate Non-Autoregressive Mod...2021-06-03Code
14Global Intent-Slot Co-occurence75No--Code
15Topic Information73No---