2025
EMNLP
EMNLP 2025
Towards Adding Arabic to CorefUD
Abstract
AbstractTraining models that can perform well on various NLP tasks requires large amounts of data, which becomes even more apparent with more nuanced tasks such as anaphora and coreference resolution. This paper presents the automatic creation of an Arabic CorefUD dataset through the automatic conversion of the existing gold-annotated OntoNotes.
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Keyword Pioneer
— corpus conversion
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio