1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 1 cited
ALE: A Simulation-Based Active Learning Evaluation Framework for the Parameter-Driven Comparison of Query Strategies for NLP
Philipp Kohl, Nils Freyer, Yoka Krämer +5
Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate t…
cs.CL2021★ 1 cited
STAMP 4 NLP -- An Agile Framework for Rapid Quality-Driven NLP Applications Development
Philipp Kohl, Oliver Schmidts, Lars Klöser +3
The progress in natural language processing (NLP) research over the last years, offers novel business opportunities for companies, as automated user interaction or improved data an…