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Question Answering in STACK Applying String Similarity.

Authors :
Eichhorn, Achim
Helfrich-Schkarbanenko, Andreas
Source :
International Journal of Emerging Technologies in Learning; 2022, Vol. 17 Issue 23, p56-63, 8p
Publication Year :
2022

Abstract

We present a method to evaluate fill-in-the-blank student answers in STACK using a string metric, which is not possible in the current version of STACK. To increase the quality of the evaluation, we use whitelist and blacklist instead of a single teacher answer. The performance of a STACK question equipped with a string metric is quantitatively demonstrated by evaluating its use in mathematics courses. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
NATURAL language processing

Details

Language :
English
ISSN :
18630383
Volume :
17
Issue :
23
Database :
Supplemental Index
Journal :
International Journal of Emerging Technologies in Learning
Publication Type :
Academic Journal
Accession number :
160669976
Full Text :
https://doi.org/10.3991/ijet.v17i23.35893