This is a classification model that was trained to detect whether a premise and hypothesis entail each other or not, using binary classification.
Model Details
Model Description
This model is based upon the Enhanced LSTM for Natural Language Inference architecture using BILSTM instead of LSTM trained on over 24K premise-hypothesis pairs from the shared task dataset for Natural Language Inference (NLI).
Developed by: Alan Prophett and Zac Curtis
Language(s): English
Model type: Supervised
Model architecture: BILSTM
Finetuned from model [optional]: None
Model Resources
Repository: None
Paper or documentation: None
Training Details
Training Data
24K+ premise-hypothesis pairs from the shared task dataset provided for Natural Language Inference (NLI).
