Reproducing the Argument Quality Prediction of Project Debater

A crucial task when analyzing arguments is to determine their quality.Especially when you have to choose from a large number of suitable arguments, the determination of a reliable argument quality value is of great benefit.Probably the best-known model for determining such an argument quality value was developed in IBM's Project Debater and made available to the research community free of charge via an API.In fact, the model was never open and the API is no longer available.In this paper, IBM's model is reproduced using the freely available training data and the description in the corresponding publication.Our reproduction achieves similar results on the test data as described in the original publication.Further, the predicted quality scores of reproduction and original show a very high correlation (Pearson's r = 0.9) on external data.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.argmining-1.17
Citations
1
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
3.25

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article

Reproducing the Argument Quality Prediction of Project Debater

Ines Zelch, Matthias Hagen, Benno Stein, Johannes Kiesel
1 citations
Software Engineering Techniques and Practices
3.25
article

Reproducing the Argument Quality Prediction of Project Debater

Ines Zelch, Matthias Hagen, Benno Stein, Johannes Kiesel
article en
1 citations

Abstract

A crucial task when analyzing arguments is to determine their quality.Especially when you have to choose from a large number of suitable arguments, the determination of a reliable argument quality value is of great benefit.Probably the best-known model for determining such an argument quality value was developed in IBM's Project Debater and made available to the research community free of charge via an API.In fact, the model was never open and the API is no longer available.In this paper, IBM's model is reproduced using the freely available training data and the description in the corresponding publication.Our reproduction achieves similar results on the test data as described in the original publication.Further, the predicted quality scores of reproduction and original show a very high correlation (Pearson's r = 0.9) on external data.

European Commission, Bundesministerium für Bildung und Forschung, HORIZON EUROPE Framework Programme
Gender equality
Openalex Percentile: Top 7%
Software Engineering Techniques and Practices
3.25
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