2 papers
cs.CL2024
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning
David Schulte, Felix Hamborg, Alan Akbik
Intermediate task transfer learning can greatly improve model performance. If, for example, one has little training data for emotion detection, first fine-tuning a language model o…
cs.CL2020
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity Recognition
Leon Weber, Mario Sänger, Jannes Münchmeyer +3
Summary: Named Entity Recognition (NER) is an important step in biomedical information extraction pipelines. Tools for NER should be easy to use, cover multiple entity types, highl…