数学与计算机科学 |
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基于语义相似度与XGBoost算法的英语作文智能评价框架研究 |
吕欣1, 程雨夏2 |
1.杭州电子科技大学 外国语学院,浙江 杭州 310018 2.杭州电子科技大学 计算机学院, 浙江 杭州 310018 |
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A study of automated English essay evaluating framework based on semantic similarity and XGBoost algorithm |
LYU Xin1, CHENG Yuxia2 |
1.School of Foreign Languages and Literatures, Hangzhou Dianzi University, Hangzhou 310018, China 1.School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018,China |
1 DIKLI S. An overview of automated scoring of essays[J]. Journal of Technology Learning and Assessment, 2006, 5(1): 1-35. 2 VALENTI S, NERI F, CUCCHIARELLI A. An overview of current research on automated essay grading[J]. Journal of Information Technology Education, 2003, 2(1): 319-330. 3 LANDAUER T K, LAHAM D, FOLTZ P W. The intelligent essay assessor: applications to educational technology [J]. IEEE Intelligent Systems and Their Applications, 2000, 15(5): 27-31. 4 张梅, 印勇. 英语作文计算机评分技术综述[J]. 外语电化教学, 2010(136): 44-47.DOI:10.3969/j.issn.1001-5795.2010.06.008 ZHANG M, YIN Y. An overview of computerized scoring of English essays[J]. Computer-Assisted Foreign Language Education, 2010(136): 44-47.DOI:10.3969/j.issn.1001-5795.2010.06.008 5 刘明杨. 高考作文自动评分关键技术研究[D]. 哈尔滨: 哈尔滨工业大学, 2015. LIU M Y. Research on the Key Technology of the Automatic Scoring of the College Entrance Examination Essay [D]. Harbin: Harbin Institute of Technology, 2015. 6 HIRSCHBERG J , MANNING C D. Advances in natural language processing[J]. Science, 2015, 349(6245): 261-266. 7 ISHIOKA T , KAMEDA M. Automated Japanese essay scoring system based on articles written by experts[C]// 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference.Sydney ACL, 2006 (1): 233-240.DOI:10.3115/1220175.1220205 8 LARKEY L S. Automated Essay Scoring: A Cross Disciplinary Perspective[M]. Hillsdale, NJ: Lawrence Erlbaum Associates, 2002. 9 RAMINENI C, TRAPANI C S, WILLIAMSON D M, et al. Evaluation of the E-rater scoring engine for the GRE issue and argument prompts[J]. ETS Research Report Series, 2012 (1): i-106.DOI:10.1002/j.2333-8504.2012.tb02284.x 10 殷小娟, 贾永华, 林庆英. “句酷网”和“冰果”自动评分效度的对比实证研究[J]. 河北北方学院学报(社会科学版), 2017(1): 91-96.DOI:10.3969/j.issn.2095-462X.2017.01.022 YIN X J, JIA Y H, LIN Q Y. A comparative empirical study on the reliability of “Juku” and “Bingo” online autonomous grading systems[J]. Journal of Hebei North University (Social Science Edition), 2017(1): 91-96.DOI:10.1371/journal.pone.0066730 11 FOLTZ P W. Latent semantic analysis for text-based research[J]. Behavior Research Methods Instruments & Computers, 1996, 28(2): 197-202.DOI:10.3758/bf03204765 12 王耀华, 李舟军, 何跃鹰, 等. 基于文本语义离散度的自动作文评分关键技术研究[J]. 中文信息学报, 2016(6): 173-181.DOI:10.4028/www.scientific.net/AMM.519-520.1542 WANG Y H, LI Z J, HE Y Y, et al. Research on key technology of automatic essay scoring based on text semantic dispersion[J]. Journal of Chinese Information Processing,2016(6): 173-181.DOI:10.4028/www.scientific.net/AMM.519-520.1542 13 陈一乐. 基于回归分析的中文作文自动评分技术研究[D]. 哈尔滨: 哈尔滨工业大学,2016. CHEN Y L. Research on Key Techniques of Automated Chinese Essay Scoring Based on Regression Analysis[D]. Harbin: Harbin Institute of Technology, 2016. 14 李斌. 基于文本分类技术的英语作文自动评分研究[D]. 哈尔滨:哈尔滨工业大学,2009. DOI:10.3923/itj.2013.7977.7982 LI B. Research on Automated English Essay Scoring Using Text Categorization[D]. Harbin: Harbin Institute of Technology,2009.DOI:10.3923/itj.2013.7977.7982 15 CHEN H,XU J, HE B. Automated essay scoring by capturing relative writing quality [J].The Computer Journal,2014,57(9):1318-1330. 16 魏扬威, 黄萱菁. 结合语言学特征和自编码器的英语作文自动评分[J].计算机系统应用,2017(1): 1-8. DOI:10.15888/j.cnki.csa.005535 WEI Y W, HUANG X J. Automatic essay scoring using linguistic features and auto encoder[J]. Computer Systems and Applications,2017(1): 1-8.DOI:10.15888/j.cnki.csa.005535 17 李婷, 张景祥. 集中趋势自适应增强的英语作文评分算法[J].计算机工程与应用,2018(9): 151-155.DOI:10.3778/j.issn.1002-8331.1611-0502 LI T, ZHANG J X. Adaptive boosting with central tendency algorithm for English essay scoring[J]. Computer Engineering and Applications, 2018(9): 151-155. DOI:10.3778/j.issn.1002-8331.1611-0502 18 LE Q , MIKOLOV T. Distributed representations of sentences and documents[C]// The 31st International Conference on Machine Learning. Beijing: ICML, 2014. 19 BLEI D M, NG A Y , JORDAN M I. Latent dirichlet allocation [J]. Journal of Machine Learning Research, 2003,3(4/5): 993-1022. 20 CHEN T , GUESTRIN C. XGBoost: A scalable tree boosting system[C]//The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. San Francisco: ACM,2016(1):785-794. DOI:10.1145/2939672.2939785 |
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