1 citations · 1 across the 4 of their papers we have counts for
4 papers
Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation
Jonne Sälevä, Duygu Ataman, Constantine Lignos
We introduce a set of resampling-based methods for quantifying uncertainty and statistical precision of evaluation metrics in multilingual and/or multitask NLP benchmarks. We show…
Overview of ADoBo at IberLEF 2025: Automatic Detection of Anglicisms in Spanish
Elena Alvarez-Mellado, Jordi Porta-Zamorano, Constantine Lignos +1
This paper summarizes the main findings of ADoBo 2025, the shared task on anglicism identification in Spanish proposed in the context of IberLEF 2025. Participants of ADoBo 2025 we…
OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages
Chester Palen-Michel, Maxwell Pickering, Maya Kruse +2
We present OpenNER 1.0, a standardized collection of openly-available named entity recognition (NER) datasets. OpenNER contains 36 NER corpora that span 52 languages, human-annotat…
CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English
Andrew Rueda, Elena Álvarez Mellado, Constantine Lignos
Modern named entity recognition systems have steadily improved performance in the age of larger and more powerful neural models. However, over the past several years, the state-of-…