4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset
Susanna Rücker, Alan Akbik
The CoNLL-03 corpus is arguably the most well-known and utilized benchmark dataset for named entity recognition (NER). However, prior works found significant numbers of annotation…
cs.CL2023★ 4 cited
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
Patrick Haller, Ansar Aynetdinov, Alan Akbik
Instruction-tuned Large Language Models (LLMs) have recently showcased remarkable ability to generate fitting responses to natural language instructions. However, an open research…
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…