Laura Cristina Alonzo Canul — accepted AI-conference papers

2024

FRACAS: a FRench Annotated Corpus of Attribution relations in newS

Ange Richard, Laura Cristina Alonzo Canul, François Portet

COLING 2024main

Quotation extraction is a widely useful task both from a sociological and from a Natural Language Processing perspective. However, very little data is available to study this task in languages other than English. In this paper, we present FRACAS, a manually annotated corpus of 1,676 newswire texts i…

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2024

Jargon: A Suite of Language Models and Evaluation Tasks for French Specialized Domains

Vincent Segonne, Aidan Mannion, Laura Cristina Alonzo Canul, Alexandre Daniel Audibert, Xingyu Liu, Cécile Macaire +20

COLING 2024main

Pretrained Language Models (PLMs) are the de facto backbone of most state-of-the-art NLP systems. In this paper, we introduce a family of domain-specific pretrained PLMs for French, focusing on three important domains: transcribed speech, medicine, and law. We use a transformer architecture based on…

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