Dialogue on ICSI Meeting Recorder Dialog Act (MRDA) corpus

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	Pretrained Hierarchical Transformer	92.4	No	Hierarchical Pre-training for Sequence Labelling...	2020-09-23	-
2	Hierarchical Fusion	91.8	No	-	-	Code
3	CRF-ASN	91.7	No	Dialogue Act Recognition via CRF-Attentive Struc...	2017-11-15	-
4	HGRU + Beam Search + Guided attention	91.6	No	Guiding attention in Sequence-to-sequence models...	2020-02-20	Code
5	Speaker	91.4	No	Speaker Turn Modeling for Dialogue Act Classific...	2021-09-10	Code
6	Bi-RNN + Self-Attention + Context	91.1	No	Dialogue Act Classification with Context-Aware S...	2019-04-04	Code
7	Bi-LSTM-CRF	90.9	No	Dialogue Act Sequence Labeling using Hierarchica...	2017-09-13	Code
8	SGNN	86.7	No	-	-	Code

#1Pretrained Hierarchical TransformerSOTA
92.4
Accuracy· 2020-09-23
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
#2Hierarchical Fusion
91.8
Accuracy
No paperCode
#3CRF-ASNSOTA
91.7
Accuracy· 2017-11-15
Dialogue Act Recognition via CRF-Attentive Structured Network
#4HGRU + Beam Search + Guided attention
91.6
Accuracy· 2020-02-20
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction Code
#5Speaker
91.4
Accuracy· 2021-09-10
Speaker Turn Modeling for Dialogue Act Classification Code
#6Bi-RNN + Self-Attention + Context
91.1
Accuracy· 2019-04-04
Dialogue Act Classification with Context-Aware Self-Attention Code
#7Bi-LSTM-CRFSOTA
90.9
Accuracy· 2017-09-13
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF Code
#8SGNN
86.7
Accuracy
No paperCode