automatic essay grading using text categorization



01.08.1998 -
Abstract. Several standard text-categorization tech- niques were applied to the problem of automated es- say grading. Bayesian independence classifiers and k- nearest-neighbor classifiers were trained to assign scores to manually-graded essays. These scores were combined with several other summary text measures
Several standard text-categorization techniques were applied to the problem of automated essay grading. Bayesian independence classifiers and knearest-neighbor classifiers were trained to assign scores to manually-graded essays. These scores were combined with several other summary text measures using linear
19.12.2017 -
BibTeX. @INPROCEEDINGS{Larkey98automaticessay, author = {Leah Larkey}, title = {Automatic Essay Grading Using Text Categorization Techniques}, booktitle = {In Proceedings of SIGIR-98, 21st ACM International Conference on Research and Development in Information Retrieval}, year = {1998}, pages = {90--95} }
Then, our approach to automated essay marking via text classification along with the outline of the system under development, will be provided. FUNDAMENTALS OF TEXT CLASSIFICATION. Text Classification (TC) is the problem of assigning predefined categories to free text documents. Typically, the classifiers adopt two-.
Automatic essay grading using text categorization techniques. In Proceedings of the 21st Annual International Conference on Research and Development in Information Retrieval (SIGIR 98), 90–95, Australia. Larkey, L., & Croft, W.B. (1996). Combining classifiers in text categorization. In proceedings of the 19th International
Pearson's automated scoring of writing the key techniques that enable automatic scoring of constructed language in 81 published essay prompts (grade 6-12) 400. Mi's industry-leading automated essay scoring using advanced, proven statistical techniques by streamlining the grading process, peg writing makes it.
Based on the proposed feature selection method and the proposed similarity measures between documents, we also have presented three methods to deal with the categorization of the Reuters-21578 top 10 categories data set. The experimental results show that the proposed three methods get higher performance for text
Lari, K. and Young, S. J. (1990). "The estimation of stochastic context-free grammars using the Inside-Outside algorithm." Computer Speech and Language, 4: 35-56. Larkey, L. S. (1998). Automatic essay grading using text categorization techniques. Proceedings of SIGIR-98, 21st ACM International Conference on Research

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