14 citations · 33 across the 9 of their papers we have counts for
Showing 2023 · cs.CLShow all
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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.CL2023★ 2 cited
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Jonas Golde, Patrick Haller, Felix Hamborg +2
Most NLP tasks are modeled as supervised learning and thus require labeled training data to train effective models. However, manually producing such data at sufficient quality and…