Papers by Pascal Amsili

2 papers
FReND: A French Resource of Negation Data (2024.lrec-main)

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Challenge: Negation data are limited by the language models of the BERT-generation, which are still underperforming on tasks and benchmarks featuring negation.
Approach: FReND is a freely available corpus of French language in which negations are hand-annotated by their cues and scopes.
Outcome: FReND is the largest dataset available for french negation analysis . it is a valuable resource for linguistic research and as training data for AI tasks such as negation detection.
A Gold Anaphora Annotation Layer on an Eye Movement Corpus (L18-1)

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Challenge: Anaphora resolution is a complex process in which multiple linguistic factors play a role.
Approach: They used annotated anaphorical pronouns from newspaper articles read by humans to model reading time of pronounes.
Outcome: The proposed resource allows to study human anaphora resolution on natural data.

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