Papers by Veton Matoshi

1 papers
LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain (2023.findings-emnlp)

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Challenge: Recent advances in legal NLP have led to a rapid growth of the field . however, many benchmarks are available only in English and no multilingual benchmark exists .
Approach: They propose to use 11 datasets covering 24 languages to compare NLP models.
Outcome: The proposed benchmarks show that even the best baseline only achieves modest results and ChatGPT struggles with many tasks.

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