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Automated Essay Scoring (AES) is a cross-disciplinary effort involving Education, Linguistics, and Natural Language Processing (NLP).
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Shermis, Mark D., and Jill C. Burstein, eds. “Automated essay scoring: A cross-disciplinary perspective.” Routledge, 2003
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Shermis, Mark D. “State-of-the-art automated essay scoring: Competition, results, and future directions from a United States demonstration.” Assessing Writing 20 (2014): 53-76
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Flor, Michael, Yoko Futagi, Melissa Lopez, and Matthew Mulholland. “Patterns of misspellings in L2 and L1 English: A view from the ETS Spelling Corpus.” Bergen Language and Linguistics Studies 6 (2015)
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Chen, Jing, James H. Fife, Isaac I. Bejar, and André A. Rupp. “Building e‐rater® Scoring Models Using Machine Learning Methods.” ETS Research Report Series 2016, no. 1 (2016): 1-12
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He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. ”Deep residual learning for image recognition.” In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770-778. 2016
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Wang, Yequan, Minlie Huang, Xiaoyan Zhu, and Li Zhao. ”Attention-based LSTM for aspect-level sentiment classification.” In Proceedings of the 2016 conference on empirical methods in natural language processing, pp. 606-615. 2016
2016
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Taghipour, Kaveh, and Hwee Tou Ng. “A neural approach to automated essay scoring.” In Proceedings of the 2016 conference on empirical methods in natural language processing, pp. 1882-1891. 2016
2016
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Dong, Fei, Yue Zhang, and Jie Yang. “Attention-based recurrent convolutional neural network for automatic essay scoring.” In Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), pp. 153-162. 2017
2017
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Gomez, Aidan N., Mengye Ren, Raquel Urtasun, and Roger B. Grosse. “The reversible residual network: Backpropagation without storing activations.” In Advances in neural information processing systems, pp. 2214-2224. 2017
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Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. ”Attention is all you need.” In Advances in neural information processing systems, pp. 5998-6008. 2017
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Wang, Alex, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. “Superglue: A stickier benchmark for general-purpose language understanding systems.” In Advances in Neural Information Processing Systems, pp. 3266-3280. 2019
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Yang, Zhilin, Zihang Dai, Yiming Yang, Jaime Carbonell, Russ R. Salakhutdinov, and Quoc V. Le. “Xlnet: Generalized autoregressive pretraining for language understanding.” In Advances in neural information processing systems, pp. 5753-5763. 2019
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Mayfield, Elijah, and Alan W. Black. “Should You Fine-Tune BERT for Automated Essay Scoring?.” In Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, pp. 151-162. 2020
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Uto, Masaki, Yikuan Xie, and Maomi Ueno. ”Neural Automated Essay Scoring Incorporating Handcrafted Features.” In Proceedings of the 28th International Conference on Computational Linguistics, pp. 6077-6088. 2020
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Yang, Ruosong, Jiannong Cao, Zhiyuan Wen, Youzheng Wu, and Xiaodong He. ”Enhancing Automated Essay Scoring Performance via Cohesion Measurement and Combination of Regression and Ranking.” In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, pp. 1560-1569. 2020
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