{'fraction_non_alphanumeric': 0.015137180700094607, 'fraction_numerical': 0.0, 'mean_word_length': 5.2976190476190474, '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}}
Research of Extracting Knowledge Points of Single Choice Questions on Template Method

The single choice question is a common question type in each subject. It's characterized by lots of quantity and broad scope of knowledge. Automatic extraction of single choice questions' knowledge can help students find the knowledge points of the wrong questions quickly, understand the weak links of knowledge in time, so it owns very important research value and application demand in education teaching system. This article aims to extract of single choice questions' knowledge points in the subject. For this purpose, we built a knowledge base whose structure is according to textbook chapters, constructed a template library to extract the subject knowledge points. For extracted content, using analogous words table to unify the common expression of knowledge points, thus located knowledge to the knowledge base. The research of this paper has some reference value and practical value for the automatic extraction of knowledge points in the subject examination.