{'fraction_non_alphanumeric': 0.007836990595611285, 'fraction_numerical': 0.0, 'mean_word_length': 5.945652173913044, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Vietnamese Question Classification based on Deep Learning for Educational Support System

Question classification has an important role in many applications. This task is predicting the entity type of the answering sentence for a given question in natural language. In this research we propose using pre-train word embeddings in Bidirectional LSTM model for Vietnamese question classification and integrate automated question answering systems into Educational Support System. Experiment results both on Vietnamese Question Classification and automated question answering systems show that our proposed method archives the better results.