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Table 1: 

Summary of model AUC scores (%) for slang generation in 3 slang datasets.

Model1NNPrototype1NN+CFProto+CF
Dataset 1: Online Slang Dictionary (OSD) 
Prior Baseline - Uniform 51.9 
Prior Baseline - Syntactic-shift 60.6 
Prior Baseline - Linguistic Context (Donahue et al., 2020) 61.8 
Prior Baseline - Syntactic-shift + Linguistic Context 67.3 
FastText Baseline (Sun et al., 2019) 63.2 65.2 66.0 68.7 
FastText + Contrastive Semantic Encoding (CSE) 71.7 71.6 73.0 72.6 
FastText + CSE + Syntactic-shift Prior (SSP) 73.8 73.4 75.2 74.4 
FastText + CSE + Linguistic Context Prior (LCP) 73.6 73.2 74.7 73.9 
FastText + CSE + SSP + LCP 75.4 74.9 76.5 75.6 
SBERT Baseline 67.4 68.1 69.5 72.0 
SBERT + CSE 76.6 77.4 77.4 78.0 
SBERT + CSE + SSP 77.6 78.0 78.8 78.9 
SBERT + CSE + LCP 77.8 78.4 78.1 78.7 
SBERT + CSE + SSP + LCP 78.5 79.0 79.4 79.5 
 
Dataset 2: Green’s Dictionary of Slang (GDoS) 
Prior Baseline - Uniform 51.5 
Prior Baseline - Syntactic-shift 61.0 
FastText Baseline (Sun et al., 2019) 68.2 69.9 67.8 69.7 
FastText + Contrastive Semantic Encoding (CSE) 73.4 74.0 74.1 74.8 
FastText + CSE + Syntactic-shift Prior (SSP) 74.5 74.8 75.2 75.8 
SBERT Baseline 67.1 68.0 66.8 67.5 
SBERT + CSE 77.8 78.2 77.4 77.9 
SBERT + CSE + SSP 78.5 78.7 78.3 78.6 
 
Dataset 3: Urban Dictionary (UD) 
Prior Baseline - Uniform 52.3 
FastText Baseline (Sun et al., 2019) 65.2 68.8 67.6 70.9 
FastText + Contrastive Semantic Encoding (CSE) 71.0 72.2 71.5 73.7 
SBERT Baseline 72.4 71.7 74.0 74.4 
SBERT + CSE 76.2 76.6 77.2 78.8 
Model1NNPrototype1NN+CFProto+CF
Dataset 1: Online Slang Dictionary (OSD) 
Prior Baseline - Uniform 51.9 
Prior Baseline - Syntactic-shift 60.6 
Prior Baseline - Linguistic Context (Donahue et al., 2020) 61.8 
Prior Baseline - Syntactic-shift + Linguistic Context 67.3 
FastText Baseline (Sun et al., 2019) 63.2 65.2 66.0 68.7 
FastText + Contrastive Semantic Encoding (CSE) 71.7 71.6 73.0 72.6 
FastText + CSE + Syntactic-shift Prior (SSP) 73.8 73.4 75.2 74.4 
FastText + CSE + Linguistic Context Prior (LCP) 73.6 73.2 74.7 73.9 
FastText + CSE + SSP + LCP 75.4 74.9 76.5 75.6 
SBERT Baseline 67.4 68.1 69.5 72.0 
SBERT + CSE 76.6 77.4 77.4 78.0 
SBERT + CSE + SSP 77.6 78.0 78.8 78.9 
SBERT + CSE + LCP 77.8 78.4 78.1 78.7 
SBERT + CSE + SSP + LCP 78.5 79.0 79.4 79.5 
 
Dataset 2: Green’s Dictionary of Slang (GDoS) 
Prior Baseline - Uniform 51.5 
Prior Baseline - Syntactic-shift 61.0 
FastText Baseline (Sun et al., 2019) 68.2 69.9 67.8 69.7 
FastText + Contrastive Semantic Encoding (CSE) 73.4 74.0 74.1 74.8 
FastText + CSE + Syntactic-shift Prior (SSP) 74.5 74.8 75.2 75.8 
SBERT Baseline 67.1 68.0 66.8 67.5 
SBERT + CSE 77.8 78.2 77.4 77.9 
SBERT + CSE + SSP 78.5 78.7 78.3 78.6 
 
Dataset 3: Urban Dictionary (UD) 
Prior Baseline - Uniform 52.3 
FastText Baseline (Sun et al., 2019) 65.2 68.8 67.6 70.9 
FastText + Contrastive Semantic Encoding (CSE) 71.0 72.2 71.5 73.7 
SBERT Baseline 72.4 71.7 74.0 74.4 
SBERT + CSE 76.2 76.6 77.2 78.8 
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