Search Results for author: Nolan Holley

Found 2 papers, 1 papers with code

SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation

1 code implementation EMNLP (Eval4NLP) 2021 Chester Palen-Michel, Nolan Holley, Constantine Lignos

To address a looming crisis of unreproducible evaluation for named entity recognition, we propose guidelines and introduce SeqScore, a software package to improve reproducibility.

named-entity-recognition Named Entity Recognition +1

Toward More Meaningful Resources for Lower-resourced Languages

no code implementations Findings (ACL) 2022 Constantine Lignos, Nolan Holley, Chester Palen-Michel, Jonne Sälevä

We then discuss the importance of creating annotation for lower-resourced languages in a thoughtful and ethical way that includes the languages' speakers as part of the development process.

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