Explaining Predictions of Non-Linear Classifiers in NLP.
Leila ArrasFranziska HornGrégoire MontavonKlaus-Robert MüllerWojciech SamekPublished in: Rep4NLP@ACL (2016)
Keyphrases
- standard machine learning algorithms
- natural language processing
- machine learning algorithms
- training data
- support vector
- information extraction
- decision trees
- classification systems
- machine translation
- training set
- svm classifier
- question answering
- multiple classifiers
- classifier combination
- training samples
- natural language
- wordnet
- high predictive accuracy
- feature selection
- text analysis
- language processing
- machine learning
- textual entailment
- information retrieval
- learning algorithm
- majority voting
- learned models
- computational linguistics
- linear classifiers
- ensemble learning
- classification models
- machine learning methods
- feature set
- data sets
- naive bayes