Priscilla Lola Adenuga

Priscilla Lola Adenuga

Priscilla Lola Adenuga works with language data at the intersection of linguistics and NLP. Her background is in syntactic analysis and linguistic fieldwork, with hands-on experience annotating low-resource language data. She is interested in data quality, annotation practices, and how insights from linguistics can inform more robust and realistic NLP systems.

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Low-Resource Languages as Stress Tests for NLP Data

Short Talk
Low-resource languages expose weaknesses in NLP systems that are often hidden by benchmark data. Drawing on experience annotating fieldwork data, this talk shows how ambiguity and annotation decisions reveal fundamental data quality issues relevant to real-world NLP pipelines.