PRE-PROCESSED LATENT SEMANTIC ANALYSIS FOR AUTOMATIC ESSAY GRADING
نویسندگان
چکیده
منابع مشابه
Automatic Essay Grading With Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis (PLSA) is an information retrieval technique proposed to improve the problems found in Latent Semantic Analysis (LSA). We have applied both LSA and PLSA in our system for grading essays written in Finnish, called Automatic Essay Assessor (AEA). We report the results comparing PLSA and LSA with three essay sets from various subjects. The methods were found ...
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Latent semantic analysis (LSA) is an automated, statistical technique for comparing the semantic similarity of words or documents. In this paper, I examine the application of LSA to automated essay scoring. I compare LSA methods to earlier statistical methods for assessing essay quality, and critically review contemporary essay-scoring systems built on LSA, including the Intelligent Essay Asses...
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Writing has been increasingly regarded by the testers of language tests as an important indicator to assess the language skill of testees. As such tests become more and more popular and the number of testees becomes larger, it is a huge task to score so many essays by raters. So far, many methods have been used to solve this problem and the traditional method is Latent Semantic Analysis (LSA). ...
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ژورنال
عنوان ژورنال: Kursor
سال: 2017
ISSN: 2301-6914,0216-0544
DOI: 10.28961/kursor.v8i4.110