Language Modelling on SICK

Metric: Pearson Correlation (higher is better)

LeaderboardDataset

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#	Model↕	Pearson Correlation▼	Extra Data	Paper	Date↕	Code
1	Dependency Tree-LSTM (Tai et al., 2015)	0.8676	No	Improved Semantic Representations From Tree-Stru...	2015-02-28	Code
2	combine-skip (Kiros et al., 2015)	0.8584	No	Skip-Thought Vectors	2015-06-22	Code
3	Bidirectional LSTM (Tai et al., 2015)	0.8567	No	Improved Semantic Representations From Tree-Stru...	2015-02-28	Code
4	LSTM (Tai et al., 2015)	0.8528	No	Improved Semantic Representations From Tree-Stru...	2015-02-28	Code
5	Doc2VecC	0.8381	No	Efficient Vector Representation for Documents th...	2017-07-08	Code

#1Dependency Tree-LSTM (Tai et al., 2015)SOTA
0.8676
Pearson Correlation· 2015-02-28
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Code
#2combine-skip (Kiros et al., 2015)
0.8584
Pearson Correlation· 2015-06-22
Skip-Thought Vectors Code
#3Bidirectional LSTM (Tai et al., 2015)
0.8567
Pearson Correlation· 2015-02-28
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Code
#4LSTM (Tai et al., 2015)
0.8528
Pearson Correlation· 2015-02-28
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Code
#5Doc2VecC
0.8381
Pearson Correlation· 2017-07-08
Efficient Vector Representation for Documents through Corruption Code