Task: Question Answering
Input (English): Benchmark Evaluation ::: Classifier Models
SVM: A linear support vector machine with bag-of-words sentence representations.

MLP: A multi-layer perceptron with USE embeddings BIBREF4 as input.

FastText: A shallow neural network that averages embeddings of n-grams BIBREF5.

CNN: A convolutional neural network with non-static word embeddings initialized with GloVe BIBREF6.

BERT: A neural network that is trained to predict elided words in text and then fine-tuned on our data BIBREF1.

Platforms: Several platforms exist for the development of task-oriented agents. We consider Google's DialogFlow and Rasa NLU with spacy-sklearn. 
 Question: Which classifiers are evaluated?
Output (English): SVM MLP FastText CNN BERT Google's DialogFlow Rasa NLU