Attempt to Develop An Approach Based on BERT for Task of NTCIR-16 QA Lab-Poliinfo-3 Budget Argument Mining

Akio Kobayashi; Hiroki Sakaji

doi:10.20736/0002002280

June 14, 2022Open Access

Attempt to Develop An Approach Based on BERT for Task of NTCIR-16 QA Lab-Poliinfo-3 Budget Argument Mining

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Key Points

This research aims to improve budget argument mining using a BERT-based approach in a specific task of the NTCIR-16 QA Lab.
Participation in the NTCIR-16 QA Lab Poli-info Task.
Development of a BERT-based model for budget argument mining.
Comparison of model performance against other teams' approaches.
Model significantly underperformed compared to other team approaches.
Official results indicate limited effectiveness of the BERT approach for this specific task.

Implication

Participation in budget argument mining task shows underperformance in model results, suggesting areas for improvement.

Abstract

The SMLAB team participated in the budget argument mining subtask of the NTCIR-16 QALab Poli-info Task. This paper reports our approach to solving this task and discusses the official results. As an reult, our model underperformed other approaches from other teams drastically.

Discussion

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Cite This Study

Kobayashi et al. (2022) studied this question.

synapsesocial.com/papers/69cd7ae65652765b073a86cd https://doi.org/10.20736/0002002280

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Attempt to Develop An Approach Based on BERT for Task of NTCIR-16 QA Lab-Poliinfo-3 Budget Argument Mining

Key Points

Implication

Abstract

Discussion

Cite This Study

Attempt to Develop An Approach Based on BERT for Task of NTCIR-16 QA Lab-Poliinfo-3 Budget Argument Mining

Key Points

Implication

Abstract

Discussion

Cite This Study

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