Papers by Evan Dufraisse
MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification (2023.acl-long)
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| Challenge: | Sentiment classification is a task that requires domain-specific datasets. |
| Approach: | They propose a new dataset which includes aligned examples in eight languages . they show that machine translations can replace manual ones and that results match English . |
| Outcome: | The proposed dataset compares the performance of the proposed model with existing datasets in eight languages and human and machine translations. |
Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification (2025.findings-acl)
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| Challenge: | Existing methods to analyze political biases rely on small-size intermediate tasks and the LLMs themselves. |
| Approach: | They propose an entropy-based inconsistency metric to encode political biases . they insert 1319 demographically and politically diverse politician names in 450 political sentences . |
| Outcome: | The proposed method combines high accuracy with a correct understanding of the candidate candidate. |