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Table 4: 

Results of Pearson correlation r and Spearman’s rank correlation ρ on the Argument Facet Similarity (AFS) dataset. ♯ indicates that results are reproduced by ourselves; § indicates results are taken from Reimers and Gurevych (2019); Surrogate are results for our proposed method.

ModelPearson rSpearman ρ
 Unsupervised Setting 
Avg. Glove embeddings 32.40 34.00 
Avg. Skip-Thought embeddings 22.34 23.24 
InferSent-Glove 24.83 25.83 
Avg. BERT embeddings 29.15 31.45 
BERT [CLS] 12.00 9.06 
BERTScore 45.32 33.56 
DPR 41.89 32.16 
BLEURT 45.98 44.12 
Universal Sent Encoder 44.28 43.47 
 
Origin 56.20 54.40 
Surrogatebase 53.00 52.50 
Surrogatelarge 54.50 54.70 
 
 Supervised Setting 
BERT [CLS] 35.28 36.24 
BERTbase§ 77.20 74.84 
SBERTbase§ 76.57 74.13 
SRoBERTabase 77.26 74.89 
Surrogatebase 79.80 78.20 
 
BERTlarge§ 78.68 76.38 
SBERTlarge§ 77.85 75.93 
SRoBERTalarge 79.03 76.92 
Surrogatelarge 81.00 80.50 
ModelPearson rSpearman ρ
 Unsupervised Setting 
Avg. Glove embeddings 32.40 34.00 
Avg. Skip-Thought embeddings 22.34 23.24 
InferSent-Glove 24.83 25.83 
Avg. BERT embeddings 29.15 31.45 
BERT [CLS] 12.00 9.06 
BERTScore 45.32 33.56 
DPR 41.89 32.16 
BLEURT 45.98 44.12 
Universal Sent Encoder 44.28 43.47 
 
Origin 56.20 54.40 
Surrogatebase 53.00 52.50 
Surrogatelarge 54.50 54.70 
 
 Supervised Setting 
BERT [CLS] 35.28 36.24 
BERTbase§ 77.20 74.84 
SBERTbase§ 76.57 74.13 
SRoBERTabase 77.26 74.89 
Surrogatebase 79.80 78.20 
 
BERTlarge§ 78.68 76.38 
SBERTlarge§ 77.85 75.93 
SRoBERTalarge 79.03 76.92 
Surrogatelarge 81.00 80.50 
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