How to Account for "Mispellings": 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

Read More

• https://www.aclweb.org/anthology/W19-4411