Skip to content

314 persuasive essays annotated for claims. The essays were written by undergraduate students (N = 314) at a public university in the United States who were native speakers of English.

Notifications You must be signed in to change notification settings

scrosseye/Claim_Identification_Corpus

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 

Repository files navigation

Claim_Identification_Corpus

314 persuasive essays annotated for claims, effectiveness of claims, relationships amoung the claims, and holistic essay scores. The essays were written by undergraduate students at a public university in the United States who were native speakers of English.

Additional information in the repository in the Data_overview document. Holistic scores are in the essay_scores workbook. Annotations and effectiveness scores are for each individual essay are in the Data folder.

An initial publication on this data can be found at

https://educationaldatamining.org/EDM2021/virtual/static/pdf/EDM21_paper_163.pdf

Please cite

Wan, Q., Crossley, S.A., Banawan, M., Balyan, R., Tian, Y., McNamara, D. S., & Allen, L. (2021). Automated Claim Identification Using NLP Features in Student Argumentative Essays. Proceedings of the 14th International Conference on Educational Data Mining (EDM).

If used

About

314 persuasive essays annotated for claims. The essays were written by undergraduate students (N = 314) at a public university in the United States who were native speakers of English.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published