AI models
Constituency-Tree LSTM
Parameters
205.2K
Published
Feb 28, 2015
Constituency-Tree LSTM is an AI model developed by MetaMind Inc and Stanford University (United States), first published in February 2015. It works in the language domain, on tasks such as semantic embedding.
Epoch AI has no training-compute estimate for this model. The model has 205,190 parameters. It was trained on roughly 319K datapoints.
The reference paper has 3,248 citations.
Full record
- Organization
- MetaMind Inc, Stanford University
- Country of organization
- United States
- Domain
- Language
- Task
- Semantic embedding
- Parameters
- 205,190
- Dataset size
- 319K
- Citations
- 3,248
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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