Fetching the paper…
Reading the bibliography…
Automatic short answer grading is an important research direction in the exploration of how to use artificial intelligence (AI)-based tools to improve education.
The imminence of… grading essays by computer
E. B. Page · 1966
Earlier work this paper cites.
Solving measurement problems with the rasch model
B. D. Wright · 1977
Earlier work this paper cites.
The intelligent essay assessor: Applications to educational technology
P. W. Foltz, D. Laham, and T. K. Landauer · 1999
Earlier work this paper cites.
A simple generalisation of the area under the roc curve for multiple class classification problems
D. J. Hand and R. J. Till · 2001
Earlier work this paper cites.
The e-rater® scoring engine: Automated essay scoring with natural language processing
J. Burstein · 2003
Earlier work this paper cites.
C-rater: Automated scoring of short-answer questions
C. Leacock and M. Chodorow · 2003
Earlier work this paper cites.
An overview of current research on automated essay grading
S. Valenti, F. Neri, and A. Cucchiarelli · 2003
Earlier work this paper cites.
Coh-metrix: Analysis of text on cohesion and language
A. C. Graesser, D. S. McNamara, M. M. Louwerse, and Z. Cai · 2004
Earlier work this paper cites.
Automated essay scoring with e-rater® v. 2
Y. Attali and J. Burstein · 2006
Earlier work this paper cites.
Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
J. Whitehill, T.-f. Wu, J. Bergsma, J. Movellan, and P. Ruvolo · 2009
Earlier work this paper cites.
Data Mining
A. Rajaraman and J. D. Ullman · 2011
Earlier work this paper cites.
Transforming biology assessment with machine learning: automated scoring of written evolutionary explanations
R. H. Nehm, M. Ha, and E. Mayfield · 2012
Earlier work this paper cites.
Powergrading: a clustering approach to amplify human effort for short answer grading
S. Basu, C. Jacobs, and L. Vanderwende · 2013
Earlier work this paper cites.
Automated essay scoring by maximizing human-machine agreement
H. Chen and B. He · 2013
Earlier work this paper cites.
Learning fair representations
R. Zemel, Y. Wu, K. Swersky, T. Pitassi, and C. Dwork · 2013
Earlier work this paper cites.
Modeling prompt adherence in student essays
I. Persing and V. Ng · 2014
Earlier work this paper cites.
A system to grade computer programming skills using machine learning
S. Srikant and V. Aggarwal · 2014
Earlier work this paper cites.
Mathematical language processing: Automatic grading and feedback for open response mathematical questions
A. S. Lan, D. Vats, A. E. Waters, and R. G. Baraniuk · 2015
Cited alongside, same era.
A hierarchical classification approach to automated essay scoring
D. S. McNamara, S. A. Crossley, R. D. Roscoe, L. K. Allen, and J. Dai · 2015
Cited alongside, same era.
Deep Learning
I. Goodfellow, Y. Bengio, and A. Courville · 2016
Cited alongside, same era.
A neural approach to automated essay scoring
K. Taghipour and H. T. Ng · 2016
Cited alongside, same era.
Deep learning+ student modeling+ clustering: A recipe for effective automatic short answer grading
Y. Zhang, R. Shah, and M. Chi · 2016
Cited alongside, same era.
Reading wikipedia to answer open-domain questions
D. Chen, A. Fisch, J. Weston, and A. Bordes · 2017
Cited alongside, same era.
Neural automated essay scoring incorporating handcrafted features
M. Uto, Y. Xie, and M. Ueno · 2020
Later among the works it cites.
Enhancing automated essay scoring performance via fine-tuning pre-trained language models with combination of regression and ranking
R. Yang, J. Cao, Z. Wen, Y. Wu, and X. He · 2020
Later among the works it cites.
Applying machine learning in science assessment: a systematic review
X. Zhai, Y. Yin, J. W. Pellegrino, K. C. Haudek, and L. Shi · 2020
Later among the works it cites.
Online: https://www.kaggle.com/c/asap-aes , 2021
The hewlett foundation: Automated essay scoring · 2021
Later among the works it cites.
Improving automated scoring of student open responses in mathematics
S. Baral, A. F. Botelho, J. A. Erickson, P. Benachamardi, and N. T. Heffernan · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Building better open-source tools to support fairness in automated scoring
N. Madnani, A. Loukina, A. Von Davier, J. Burstein, and A. Cahill · 2017
Cited alongside, same era.
When worlds collide: integrating different counterfactual assumptions in fairness
C. Russell, M. J. Kusner, J. Loftus, and R. Silva · 2017
Cited alongside, same era.
Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment
M. B. Zafar, I. Valera, M. Gomez Rodriguez, and K. P. Gummadi · 2017
Cited alongside, same era.
A reductions approach to fair classification
A. Agarwal, A. Beygelzimer, M. Dudík, J. Langford, and H. Wallach · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, M.-W. Chang, K. Lee, and K. Toutanova · 2018
Cited alongside, same era.
Pre-training bert on domain resources for short answer grading
C. Sung, T. Dhamecha, S. Saha, T. Ma, V. Reddy, and R. Arora · 2019
Cited alongside, same era.
Y. Chen, R. Zhong, S. Zha, G. Karypis, and H. He · 2021
Later among the works it cites.
Automatic short answer grading with sbert on out-of-sample questions
A. Condor, M. Litster, and Z. Pardos · 2021
Later among the works it cites.
Autograding" explain in plain english" questions using nlp
M. Fowler, B. Chen, S. Azad, M. West, and C. Zilles · 2021
Later among the works it cites.
Comparing the robustness of deep learning and classical automated scoring approaches to gaming strategies
S. Lottridge, B. Godek, A. Jafari, and M. Patel · 2021
Later among the works it cites.
Metaicl: Learning to learn in context
S. Min, M. Lewis, L. Zettlemoyer, and H. Hajishirzi · 2021
Later among the works it cites.
Mathbert: A pre-trained model for mathematical formula understanding
S. Peng, K. Yuan, L. Gao, and Z. Tang · 2021
Later among the works it cites.
Mathbert: A pre-trained language model for general nlp tasks in mathematics education
J. T. Shen, M. Yamashita, E. Prihar, N. Heffernan, X. Wu, B. Graff, and D. Lee · 2021
Later among the works it cites.
Scientific formula retrieval via tree embeddings
Z. Wang, M. Zhang, R. G. Baraniuk, and A. S. Lan · 2021
Later among the works it cites.
Should college dropout prediction models include protected attributes?
R. Yu, H. Lee, and R. F. Kizilcec · 2021
Later among the works it cites.
Math operation embeddings for open-ended solution analysis and feedback
M. Zhang, Z. Wang, R. Baraniuk, and A. Lan · 2021
Later among the works it cites.
Machine learning and hebrew nlp for automated assessment of open-ended questions in biology
M. Ariely, T. Nazaretsky, and G. Alexandron · 2022
Closest in time.
Automated scoring for reading comprehension via in-context bert tuning
N. Fernandez, A. Ghosh, N. Liu, Z. Wang, B. Choffin, R. G. Baraniuk, and A. S. Lan · 2022
Closest in time.