Should You Fine-Tune BERT for Automated Essay Scoring?

WS 2020 Elijah MayfieldAlan W Black

Most natural language processing research now recommends large Transformer-based models with fine-tuning for supervised classification tasks; older strategies like bag-of-words features and linear models have fallen out of favor. Here we investigate whether, in automated essay scoring (AES) research, deep neural models are an appropriate technological choice... (read more)

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