Explaining Predictions of Non-Linear Classifiers in NLP.
Leila ArrasFranziska HornGrégoire MontavonKlaus-Robert MüllerWojciech SamekPublished in: CoRR (2016)
Keyphrases
- standard machine learning algorithms
- natural language processing
- training data
- support vector
- decision trees
- machine learning algorithms
- natural language
- high predictive accuracy
- supervised classification
- information extraction
- feature set
- feature selection
- classification systems
- classification method
- question answering
- test set
- training examples
- naive bayes
- k nearest neighbour
- textual entailment
- probability estimates
- computational linguistics
- machine learning
- linear classifiers
- weighted majority voting
- classification rate
- free text
- classification models
- wordnet
- training set
- roc curve
- language processing
- binary classifiers
- classifier ensemble
- coreference resolution
- class labels
- majority voting
- ontology learning
- support vector machine
- knn