Question Type Classification Methods Comparison

3 Jan 2020 Tamirlan Seidakhmetov

The paper presents a comparative study of state-of-the-art approaches for question classification task: Logistic Regression, Convolutional Neural Networks (CNN), Long Short-Term Memory Network (LSTM) and Quasi-Recurrent Neural Networks (QRNN). All models use pre-trained GLoVe word embeddings and trained on human-labeled data... (read more)

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Methods used in the Paper

Logistic Regression
Generalized Linear Models
Memory Network
Working Memory Models
Word Embeddings