Neural Multi-task Learning in Automated Assessment
Grammatical error detection and automated essay scoring are two tasks in the area of automated assessment. Traditionally these tasks have been treated independently with different machine learning models and features used for each task. In this paper, we develop a multi-task neural network model that jointly optimises for both tasks, and in particular we show that neural automated essay scoring can be significantly improved. We show that while the essay score provides little evidence to inform grammatical error detection, the essay score is highly influenced by error detection.
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Automated Essay ScoringBIG-bench Machine LearningGrammatical Error DetectionMulti-Task LearningSimilar Papers 제목 키워드 기반
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