Papers by Julien Tourille

2 papers
Few-Shot Event Argument Extraction Based on a Meta-Learning Approach (2024.naacl-srw)

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Challenge: Recent studies on few-shot event extraction focus on event trigger detection and argument extraction in meta-learning contexts.
Approach: They propose to use prototypical networks to perform few-shot event argument extraction . they propose to inject syntactic knowledge into the model to enhance relation embeddings .
Outcome: The proposed approach achieves strong performance on ACE 2005 in several few-shot configurations.
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.

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