Benefits of Modularity in an Automated Essay Scoring System GMAT

Author(s):

Burstein, Jill; Marcu, Daniel

Publication Year:

2000

Source:

Proceedings of the Workshop on Using Toolsets and Architectures to Build NLP Systems, 18th International Conference on Computational linguistics, Luxembourg, Aug 2000

Document Type:

Chapter

Page Count:

6

Subject/Key Words:

Language Processing, Electronic Essay Rater (E-rater), Essay Tests, Scoring, Automation, Discourse Analysis, Models, Graduate Management Admission Test (GMAT), Automated Scoring and Natural Language Processing

Read More

• http://www.ets.org/Media/Research/pdf/erater_colinga4.pdf