Dialogue on Switchboard corpus

Metric: Accuracy (higher is better)

LeaderboardDataset

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	HGRU + Beam Search + Guided attention	85	No	Guiding attention in Sequence-to-sequence models...	2020-02-20	Code
2	Speaker	83.2	No	Speaker Turn Modeling for Dialogue Act Classific...	2021-09-10	Code
3	Bi-RNN + Self-Attention + Context	82.9	No	Dialogue Act Classification with Context-Aware S...	2019-04-04	Code
4	DAH-CRF	82.3	No	A Dual-Attention Hierarchical Recurrent Neural N...	2018-10-22	-
5	ALDMN	81.5	No	Improved Dynamic Memory Network for Dialogue Act...	2018-11-12	-
6	CRF-ASN	81.3	No	Dialogue Act Recognition via CRF-Attentive Struc...	2017-11-15	-
7	Bi-LSTM-CRF	79.2	No	Dialogue Act Sequence Labeling using Hierarchica...	2017-09-13	Code
8	Pretrained Hierarchical Transformer	79.2	No	Hierarchical Pre-training for Sequence Labelling...	2020-09-23	-
9	Utt-Att-BiRNN	77.42	No	Conversational Analysis using Utterance-level At...	2018-05-16	Code
10	RNN with 3 utterances in context	77.34	No	A Context-based Approach for Dialogue Act Recogn...	2018-05-16	Code
11	CNN[[Lee and Dernoncourt2016]]	73.1	No	Sequential Short-Text Classification with Recurr...	2016-03-12	Code

#1HGRU + Beam Search + Guided attentionSOTA
85
Accuracy· 2020-02-20
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction Code
#2Speaker
83.2
Accuracy· 2021-09-10
Speaker Turn Modeling for Dialogue Act Classification Code
#3Bi-RNN + Self-Attention + ContextSOTA
82.9
Accuracy· 2019-04-04
Dialogue Act Classification with Context-Aware Self-Attention Code
#4DAH-CRF SOTA
82.3
Accuracy· 2018-10-22
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
#5ALDMN
81.5
Accuracy· 2018-11-12
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training
#6CRF-ASNSOTA
81.3
Accuracy· 2017-11-15
Dialogue Act Recognition via CRF-Attentive Structured Network
#7Bi-LSTM-CRFSOTA
79.2
Accuracy· 2017-09-13
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF Code
#8Pretrained Hierarchical Transformer
79.2
Accuracy· 2020-09-23
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
#9Utt-Att-BiRNN
77.42
Accuracy· 2018-05-16
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks Code
#10RNN with 3 utterances in context
77.34
Accuracy· 2018-05-16
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks Code
#11CNN[[Lee and Dernoncourt2016]]SOTA
73.1
Accuracy· 2016-03-12
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks Code