2.1. Question analysis
Prior studies on question analysis can roughly be divided into two classes: 1) question
classification and 2) Named Entity Recognition (NER) in questions.
Question Classification. Several approaches have been proposed to classify
questions, including rule-based methods [18], statistical learning methods [9], deep
neural network methods [12, 17], and transfer learning methods [16]. Madabushi and
Lee [18] present a purely rule-based system for question classification which
achieves 97.2% accuracy on the TREC 10 dataset [27]. Their system consists of two
steps: 1) extracting relevant words from a question by using the question structure;
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