TASK |
DATASET |
MODEL |
METRIC NAME |
METRIC VALUE |
GLOBAL RANK |
REMOVE |
Emotion Recognition in Conversation
|
CPED
|
BERT+AVG+MLP
|
Accuracy of Sentiment
|
51.50
|
# 1
|
|
Emotion Recognition in Conversation
|
CPED
|
BERT+AVG+MLP
|
Macro-F1 of Sentiment
|
48.02
|
# 1
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{ssenet}^{c}$
|
Accuracy (%)
|
67.25
|
# 1
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{ssenet}^{c}$
|
Macro-F1
|
74.08
|
# 1
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{ssenet}^{c}$
|
Accuracy of Neurotism
|
53.27
|
# 3
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{ssenet}^{c}$
|
Accuracy of Extraversion
|
78.21
|
# 1
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{ssenet}^{c}$
|
Accuracy of Openness
|
55.42
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{ssenet}^{c}$
|
Accuracy of Agreeableness
|
85.89
|
# 1
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{ssenet}^{c}$
|
Accuracy of Conscientiousness
|
63.48
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{senet}^{c}$
|
Accuracy (%)
|
66.02
|
# 4
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{senet}^{c}$
|
Macro-F1
|
71.89
|
# 4
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{senet}^{c}$
|
Accuracy of Neurotism
|
53.4
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{senet}^{c}$
|
Accuracy of Extraversion
|
77.71
|
# 4
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{senet}^{c}$
|
Accuracy of Openness
|
55.42
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{senet}^{c}$
|
Accuracy of Agreeableness
|
81.99
|
# 3
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$_{senet}^{c}$
|
Accuracy of Conscientiousness
|
61.59
|
# 4
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{c}$
|
Accuracy (%)
|
66.32
|
# 3
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{c}$
|
Macro-F1
|
72.69
|
# 3
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{c}$
|
Accuracy of Neurotism
|
55.29
|
# 1
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{c}$
|
Accuracy of Extraversion
|
78.08
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{c}$
|
Accuracy of Openness
|
53.90
|
# 4
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{c}$
|
Accuracy of Agreeableness
|
80.98
|
# 4
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{c}$
|
Accuracy of Conscientiousness
|
63.35
|
# 3
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{s}$
|
Accuracy (%)
|
67.23
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{s}$
|
Macro-F1
|
72.93
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{s}$
|
Accuracy of Neurotism
|
50.75
|
# 4
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{s}$
|
Accuracy of Extraversion
|
78.08
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{s}$
|
Accuracy of Openness
|
57.93
|
# 1
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{s}$
|
Accuracy of Agreeableness
|
85.76
|
# 2
|
|
Personality Recognition in Conversation
|
CPED
|
BERT$^{s}$
|
Accuracy of Conscientiousness
|
63.60
|
# 1
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{emo}
|
PPL
|
17.48
|
# 1
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{emo}
|
BLEU
|
0.1342
|
# 5
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{emo}
|
Distinct-1
|
0.0614
|
# 1
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{emo}
|
Distinct-2
|
0.3430
|
# 1
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{emo}
|
Greedy Embedding
|
0.4996
|
# 5
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{emo}
|
Average Embedding
|
0.5588
|
# 5
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{emo}
|
bertscore
|
0.5709
|
# 4
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo+da}
|
PPL
|
17.80
|
# 4
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo+da}
|
BLEU
|
0.1382
|
# 2
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo+da}
|
Distinct-1
|
0.0601
|
# 4
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo+da}
|
Distinct-2
|
0.3404
|
# 2
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo+da}
|
Greedy Embedding
|
05012
|
# 1
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo+da}
|
Average Embedding
|
0.5608
|
# 3
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo+da}
|
bertscore
|
0.5722
|
# 1
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo}
|
PPL
|
17.70
|
# 2
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo}
|
BLEU
|
0.1403
|
# 1
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo}
|
Distinct-1
|
0.0602
|
# 3
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo}
|
Distinct-2
|
0.3388
|
# 4
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo}
|
Greedy Embedding
|
0.5026
|
# 2
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo}
|
Average Embedding
|
0.5617
|
# 1
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per+emo}
|
bertscore
|
0.5719
|
# 2
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{da}
|
PPL
|
17.72
|
# 3
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{da}
|
BLEU
|
0.1372
|
# 3
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{da}
|
Distinct-1
|
0.0605
|
# 2
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{da}
|
Distinct-2
|
0.3389
|
# 3
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{da}
|
Greedy Embedding
|
0.5017
|
# 3
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{da}
|
Average Embedding
|
0.5610
|
# 2
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{da}
|
bertscore
|
0.5703
|
# 5
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per}
|
PPL
|
18.08
|
# 5
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per}
|
BLEU
|
0.1372
|
# 3
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per}
|
Distinct-1
|
0.0592
|
# 5
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per}
|
Distinct-2
|
0.3363
|
# 5
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per}
|
Greedy Embedding
|
0.5009
|
# 4
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per}
|
Average Embedding
|
0.5606
|
# 4
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT-{per}
|
bertscore
|
0.5715
|
# 3
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o da
|
PPL
|
22.09
|
# 8
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o da
|
BLEU
|
0.1272
|
# 7
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o da
|
Distinct-1
|
0.0473
|
# 8
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o da
|
Distinct-2
|
0.2790
|
# 6
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o da
|
Greedy Embedding
|
0.4962
|
# 7
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o da
|
Average Embedding
|
0.5556
|
# 7
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o da
|
bertscore
|
0.5669
|
# 7
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o emo
|
PPL
|
22.84
|
# 9
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o emo
|
BLEU
|
0.1252
|
# 8
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o emo
|
Distinct-1
|
0.0451
|
# 9
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o emo
|
Distinct-2
|
0.2746
|
# 8
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o emo
|
Greedy Embedding
|
0.4964
|
# 6
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o emo
|
Average Embedding
|
0.5564
|
# 6
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT w/o emo
|
bertscore
|
0.5666
|
# 8
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT
|
PPL
|
21.60
|
# 7
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT
|
BLEU
|
0.1304
|
# 6
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT
|
Distinct-1
|
0.0476
|
# 7
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT
|
Distinct-2
|
0.2785
|
# 7
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT
|
Greedy Embedding
|
0.4962
|
# 7
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT
|
Average Embedding
|
0.5552
|
# 8
|
|
Personalized and Emotional Conversation
|
CPED
|
{emo+da}-GPT
|
bertscore
|
0.5674
|
# 6
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT
|
PPL
|
20.07
|
# 6
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT
|
BLEU
|
0.1171
|
# 9
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT
|
Distinct-1
|
0.0482
|
# 6
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT
|
Distinct-2
|
0.2738
|
# 9
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT
|
Greedy Embedding
|
0.4922
|
# 9
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT
|
Average Embedding
|
0.5509
|
# 9
|
|
Personalized and Emotional Conversation
|
CPED
|
GPT
|
bertscore
|
0.5629
|
# 9
|
|