Papers › Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, Christopher Potts
Code
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Datasets
Introduced by this paper, per the archive.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Sentiment Analysis | SST-2 Binary classification | MV-RNN | Accuracy | 82.9 | #79 of 87 | Archive leaderboard | report |
| Sentiment Analysis | SST-5 Fine-grained classification | MV-RNN | Accuracy | 44.4 | #27 of 31 | Archive leaderboard | report |
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