Papers by Michele Contalbo

1 papers
Argument Relation Classification through Discourse Markers and Adversarial Training (2024.emnlp-main)

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Challenge: Argument relation classification (ARC) identifies supportive, contrasting and neutral relations between argumentative units.
Approach: They propose an argument relation classifier that integrates knowledge of discourse markers into a pre-trained RoBERTa model.
Outcome: The proposed model outperforms existing methods and learns discriminative sentence embeddings supporting the task.

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