The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Automatic essay grading using text categorization techniques
Open accessAbstract
Several standard text-categorization techniques were applied to the problem of automated essay grading.Bayesian independence classifiers and knearest-neighbor classifiers were trained to assign scores to manually-graded essays.These scores were combined with several other summary text measures using linear regression.The classifiers and regression equations were then applied to a new set of essays.The classifiers worked very well.The agreement between the automated grader and the final manual grade was as good as the agreement between human graders.
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Citations
Cites
Automatic Indexing: An Experimental Inquiry
Maron, M. E. (1961) · Journal of the ACM · doi:10.1145/321075.321084 · Cited by 570 · cited 4×
“Fuhr [3] and Lewis [8] have explored improvements to Maron s model.”
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Cited by
When Small Words Foretell Academic Success: The Case of College Admissions Essays
Pennebaker, J. W., Chung, C. K., Frazee, J., Lavergne, G. M., & Beaver, D. I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115844 · Cited by 568
Metadata
- Authors
- Larkey, L. S.
- Venue
- Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 1998-08
- Pages
- 90-95
- OpenAlex
- W2062914707
- Cited by
- 275
- References
- 1
- FWCI
- 5.18
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Automatic essay grading using text categorization techniques. https://app.cochat.ai/papers/10.1145/290941.290965
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- Larkey, L. S. (1998). Automatic essay grading using text categorization techniques. Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. https://doi.org/10.1145/290941.290965
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
