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Building e‐rater® Scoring Models Using Machine Learning Methods
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/j.2333-8504.1998.tb01764.xopenalex-snapshot
COMPUTER ANALYSIS OF ESSAY CONTENT FOR AUTOMATED SCORE PREDICTION: A PROTOTYPE AUTOMATED SCORING SYSTEM FOR GMAT ANALYTICAL WRITING ASSESSMENT ESSAYS
inferredcites →https://doi.org/10.1002/j.2333-8504.2004.tb01972.xopenalex-snapshot
AUTOMATED ESSAY SCORING WITH E‐RATER® V.2.0
inferredcites →https://doi.org/10.1002/j.2333-8504.2009.tb02158.xopenalex-snapshot
EVALUATING THE CONSTRUCT‐COVERAGE OF THE E‐RATER® SCORING ENGINE
inferredcites →https://doi.org/10.1002/j.2333-8504.2011.tb02260.xopenalex-snapshot
VALIDATION OF AUTOMATED SCORES OF TOEFL IBT®TASKS AGAINST NONTEST INDICATORS OF WRITING ABILITY
inferredcites →https://doi.org/10.1002/j.2333-8504.2012.tb02284.xopenalex-snapshot
EVALUATION OF THE E‐RATER® SCORING ENGINE FOR THE GRE® ISSUE AND ARGUMENT PROMPTS
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The Nature of Statistical Learning Theory
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Transforming Biology Assessment with Machine Learning: Automated Scoring of Written Evolutionary Explanations
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Automated essay scoring: Psychometric guidelines and practices
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An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
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Using Iterated Bagging to Debias Regressions
inferredcites →https://doi.org/10.1023/b:stco.0000035301.49549.88openalex-snapshot
A tutorial on support vector regression
inferredcites →https://doi.org/10.1080/08957347.2012.635502openalex-snapshot
Comparison of Human and Machine Scoring of Essays: Differences by Gender, Ethnicity, and Country
inferredcites →https://doi.org/10.1092/up3h-m3te-q290-qj2topenalex-snapshot
COMPARING THE VALIDITY OF AUTOMATED AND HUMAN SCORING OF ESSAYS
inferredcites →https://doi.org/10.1093/biomet/39.3-4.346openalex-snapshot
STUDIES IN STATISTICAL ECOLOGY
inferredcites →https://doi.org/10.1109/asru.2011.6163975openalex-snapshot
Evaluating prosodic features for automated scoring of non-native read speech
inferredcites →https://doi.org/10.1109/cgc.2012.41openalex-snapshot
A Ranked-Based Learning Approach to Automated Essay Scoring
inferredcites →https://doi.org/10.1111/j.1467-9280.1996.tb00336.xopenalex-snapshot
Word Frequency and Word Difficulty: A Comparison of Counts in Four Corpora
inferredcites →https://doi.org/10.1111/j.1745-3992.2011.00223.xopenalex-snapshot
A Framework for Evaluation and Use of Automated Scoring
inferredcites →https://doi.org/10.1145/1143844.1143865openalex-snapshot
An empirical comparison of supervised learning algorithms
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Training linear SVMs in linear time
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Some Studies in Machine Learning Using the Game of Checkers
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Validation of automated scores of TOEFL iBT tasks against non-test indicators of writing ability
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The Application of the Cumulative Logistic Regression Model to Automated Essay Scoring
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Towards automatic scoring of non-native spontaneous speech
inferredcites →https://doi.org/10.3726/978-3-653-02511-8openalex-snapshot
International experiences in language testing and assessment : selected papers in memory of Pavlos Pavlou
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Classification and Regression Trees
inferredcites →https://doi.org/10.4324/9780203122761.ch4openalex-snapshot
The E-rater® Automated Essay Scoring System
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Digital Essay Assessment using Machine Learning Algorithms
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Trustworthy AI That Engages Humans as Partners in Teaching and Learning
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Score Reporting for Examinees with Incomplete Data on Large‐Scale Educational Assessments
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AI‐Generated Essays: Characteristics and Implications on Automated Scoring and Academic Integrity
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An automated scoring system for the AAPPL Spanish presentational writing tasks
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Identifying Features Contributing to Differential Prediction Bias of Automated Scoring Systems
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Oral submucous fibrosis in Asian countries
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Application of Prompt Learning Models in Identifying the Collaborative Problem Solving Skills in an Online Task
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Automatic Integrated Scoring Model for English Composition Oriented to Part‐Of‐Speech Tagging
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Automated scoring of junior and senior high essays using Coh-Metrix features: Implications for large-scale language testing
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Comparison of traditional machine learning and neural network approaches for automated scoring of second language English essays
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Should You Fine-Tune BERT for Automated Essay Scoring?
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Pushing on Text Readability Assessment: A Transformer Meets Handcrafted Linguistic Features
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ARTIFICIAL INTELLIGENCE IN EDUCATION: TRENDS, OPPORTUNITIES AND PITFALLS FOR INSTITUTES OF HIGHER EDUCATION IN GHANA
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Automated essay scoring using efficient transformer-based language models
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