Papers by Liam Duignan

1 papers
Unveiling Strengths and Weaknesses of NLP Systems Based on a Rich Evaluation Corpus: The Case of NER in French (2024.lrec-main)

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Challenge: Named Entity Recognition (NER) is an applicative task for which annotation schemes vary . a lack of robustness of some tools towards textual variation limits evaluation .
Approach: They propose a gold corpus for french annotated with a rich tagset that enables comparison with multiple annotation schemes.
Outcome: The proposed framework enables a fair comparison of NER systems across textual genres and annotation schemes.

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