Dataset Mention Detection

Dataset mention detection focuses on automatically identifying references to datasets within scientific literature, aiming to improve data traceability and reproducibility. Current research employs machine learning models, such as Bi-LSTM-CRFs, to achieve this, often leveraging large-scale, newly created datasets for training and evaluation. This task is crucial for enhancing the discoverability and impact of scientific datasets, ultimately fostering better collaboration and accelerating research progress.