Automated Essay Scoring (AES)
Neural Automated Essay Scoring and Coherence Modeling for Adversarially Crafted Input
... Automated Essay Scoring (AES) focuses on auto- matically analyzing the quality of writing and as- signing a score to the ...Typically, AES models exploit a wide range of manually-tuned ...
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Mitigating Examination Malpractices in Nigerian Universities using an Enhanced Automated Essay Scoring System
... applying Automated Essay Scoring System to college English writing course and he was able to propose approaches on the application of AES system in English writing course in ...the ...
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A comparison of automated scoring engines and human raters on the assessment of English essay writing
... Automated Essay Scoring (AES) employs computer technology to evaluate and score written prose in the place of the usual human ...the AES models in an applied educational context, and ...
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TDNN: A Two stage Deep Neural Network for Prompt independent Automated Essay Scoring
... Existing automated essay scoring (AES) models rely on rated essays for the tar- get prompt as training ...prompt-dependent AES, how to effectively predict essay ratings under a ...
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Regression or classification? Automated Essay Scoring for Norwegian
... Automated essay scoring (AES), in the literature also referred to as Assessment of Proficiency or Automated Text Scoring (ATS), considers the task of assigning a grade to a free ...
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Automated Essay Scoring in the Presence of Biased Ratings
... tomated essay scoring in the presence of biased ...on automated essay scoring is devoted to maximize the agree- ment with the human ...tomated essay scoring is lacking, ...
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Automated Essay Scoring by Maximizing Human Machine Agreement
... for automated essay scoring (AES) learn a rating model by min- imizing either the classification, regression, or pairwise classification loss, depending on the learning algorithm ...current ...
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Automated Essay Scoring with Discourse Aware Neural Models
... systems, automated essay scoring (AES) is an important ...automatic essay scoring lever- age hand crafted features, ranging from word- counts to argumentation structure and ...
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Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression
... for AES, because it gives the lowest QWK score, except for the case of using 25, 50, and 100 target essays in adapt- ing from prompt 7 to prompt 8, where it is better than ...
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An Expert System for Automated Essay Scoring (AES) in Computing using Shallow NLP Techniques for Inferencing
... for AES systems if multiple choice question suffices in a given scenario or domain of ...with automated grading of essays justifies the development of any AES ...
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A Neural Approach to Automated Essay Scoring
... We also compare our system to a recently pub- lished automated essay scoring method based on neural networks (Alikaniotis et al., 2016). Instead of performing cross validation, Alikaniotis et al. ...
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Topicality Based Indices for Essay Scoring
... taking essay length into ...of essay score that yields a statistically significant improve- ment in a state-of-art essay scoring ...improving essay scoring generalize across ...
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Applying Argumentation Schemes for Essay Scoring
... We aimed to lay foundations for the automat- ed analysis of argumentation schemes, such as the identification and classification of the argu- ments in an essay. Specifically, we developed annotation protocols for ...
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Automatic Features for Essay Scoring – An Empirical Study
... Automatic essay scoring (AES) is the task of build- ing a computer-based grading system, with the aim of reducing the involvement of human raters as far as ...possible. AES is challenging ...
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Ontology Based Argument Mining and Automatic Essay Scoring
... After the courses, expert graders were asked to score all essays on a 5-point Likert scale (with 1 being the lowest and 5 being the highest) without the diagrams, using a rubric with multiple crite- ria. For the ...
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Automatic Text Scoring Using Neural Networks
... text scoring models. Kle- banov and Flor (2013) demonstrate that essay scoring performance is improved by adding to the model information about percentages of highly associated, mildly associated and ...
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Feature selection for automated speech scoring
... automatically scoring writ- ten or spoken responses is to collect a training cor- pus of responses that are scored by human raters, use machine learning to estimate a model that maps response features to scores ...
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Unsupervised Learning of Discourse Aware Text Representation for Essay Scoring
... is essay scoring, where discourse structure ...an essay structure is, where well- structured essays logically develop arguments and state positions by supporting them (Persing et ...an essay ...
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Task Independent Features for Automated Essay Grading
... Automated essay grading systems usually follow a supervised approach and yield a quality of holistic grading comparable to human performance (Valenti et ...
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Automated scoring across different modalities
... the scoring engine for this response. We first hypothesized that the scoring error may be greater for responses with higher ...the scoring error (the absolute difference between pre- dicted and ...
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