应用电子技术的论文（Papers on the use of electronic technology）.docVIP

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应用电子技术的论文（Papers on the use of electronic technology）.doc

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应用电子技术的论文（Papers on the use of electronic technology）

应用电子技术的论文（Papers on the use of electronic technology） This article is contributed by goodboysk DOC documents may experience poor browsing on the WAP side. It is recommended that you first select TXT, or download the source file to the local view. Research on scoring algorithm of subjective questions based on sentence structure and semantic similarity Jia Li Yangming (Institute of electrical, information science and engineering Yanshan University Hebei Qinhuangdao 066004) Abstract: 2009-05-15 automatic scoring texts is one of key techniques of online exam system in distance education, because of its automatic evaluation very difficult, the automatic scoring system in the sentence structure, keyword matching, part of speech, lexical and semantic analysis there are still many problems. Through the analysis of the algorithm, this paper proposes a method that uses shallow syntactic analysis and deep semantic analysis algorithm combining similarity calculation, this method can improve the subjective efficiency and accuracy, and has a certain practical value. Keywords: Keywords: automatic scoring; dynamic programming; sentence similarity; semantic similarity At present, the online examination system is gradually replacing the traditional examination system. It is an important part of the online examination system to realize the automatic scoring of subjective questions. As for the subject of the test, because of its theoretical knowledge answer involves artificial intelligence, pattern recognition and natural language understanding and other aspects of the review, you need to solve many technical problems, and thus become a technical difficulties hinder the online examination system development. The subjective questions the current automatic scoring algorithm, it is used mostly for keyword matching in the student answer and the standard answer to sentence similarity calculation method, such as vector space model TF-IDF method, based on the combination of POS and word order