Evaluation of N-gram Text Representations for Automated Essay-Type Grading Systems
نویسندگان
چکیده
منابع مشابه
Automated Essay Grading
Using machine learning to assess human writing is both an interesting challenge and can potentially make quality education more accessable. Using a dataset of essays written for standardized tests, we trained different models using word features, per-essay statistics, and metrics of similarity and coherence between essays and documents. Within a single prompt, the models are able to make predic...
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The biggest obstacle to choosing constructed-response assessments over traditional multiple-choice assessments is the large cost and effort required for scoring. This project is an attempt to use different neural network architectures to build an accurate automated essay grading system to solve this problem.
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Automated scoring of student essays is increasingly used to reduce manual grading effort. State-of-the-art approaches use supervised machine learning which makes it complicated to transfer a system trained on one task to another. We investigate which currently used features are task-independent and evaluate their transferability on English and German datasets. We find that, by using our task-in...
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The project aims to build an automated essay scoring system using a data set of ≈13000 essays from kaggle.com. These essays were divided into 8 di erent sets based on context. We extracted features such as total word count per essay, sentence count, number of long words, part of speech counts etc from the training set essays. We used a linear regression model to learn from these features and ge...
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Automatic Essay Assessor (AEA) is a system that utilizes information retrieval techniques such as Latent Semantic Analysis (LSA), Probabilistic Latent Semantic Analysis (PLSA), and Latent Dirichlet Allocation (LDA) for automatic essay grading. The system uses learning materials and relatively few teacher-graded essays for calibrating the scoring mechanism before grading. We performed a series o...
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ژورنال
عنوان ژورنال: International Journal of Applied Information Systems
سال: 2015
ISSN: 2249-0868
DOI: 10.5120/ijais15-451394