Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
Joe StaceyPasquale MinerviniHaim DubossarskySebastian RiedelTim RocktäschelPublished in: EMNLP (1) (2020)
Keyphrases
- natural language
- training set
- structured prediction
- bayesian networks
- knowledge representation
- training examples
- bias variance decomposition
- random forests
- ensemble learning
- neural network
- training data
- information extraction
- random forest
- multi agent
- semantic analysis
- machine learning
- training samples
- expert systems
- ensemble methods
- training process
- inference engine
- knowledge base
- classifier ensemble
- semantic interpretation
- natural language interface