How to Account for "Mispellings": Quantifying the Benefit of Character Representations in Neural Content Scoring Models How to Account for Misspellings: Quantifying the Benefit of Character Representations in Neural Content Scoring Models

Author(s):: Riordan, Brian; Flor, Michael; Pugh, Robert
Publication Year:: 2019
Source:: Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, Florence, Italy, August 2, 2019, p116-126
Document Type:: Chapter
Page Count:: 11
Subject/Key Words:: Misspelling, Short Answer Scoring, Long Answer Scoring, Formative Assessment, Summative Assessment, Automated Scoring and Natural Language Processing

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