Papers by Guillaume Le Berre

2 papers
EUROPA: A Legal Multilingual Keyphrase Generation Dataset (2024.acl-long)

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Challenge: Keyphrases are short phrases that describe a text and have been used for many applications.
Approach: They present a dataset for multilingual keyphrase generation in the legal domain . it is derived from legal judgments from the Court of Justice of the European Union . they run multilingual models on the corpus and analyze the results .
Outcome: The proposed dataset shows that it is better than existing models and can capture larger input context.
Unsupervised multiple-choice question generation for out-of-domain Q&A fine-tuning (2022.acl-short)

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Challenge: Pre-trained models have shown very good performances on a number of question answering benchmarks especially when fine-tuned on multiple question answering datasets at once.
Approach: They propose an approach to fine-tune a question-answering dataset using a rule-based algorithm that generates questions and answers from unannotated sentences.
Outcome: The proposed model can generate questions and answers from unannotated sentences on a multiple-choice physics, biology and chemistry benchmark.

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