1 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Scoping Review of Active Learning Strategies and their Evaluation Environments for Entity Recognition Tasks
Philipp Kohl, Yoka Krämer, Claudia Fohry +1
We conducted a scoping review for active learning in the domain of natural language processing (NLP), which we summarize in accordance with the PRISMA-ScR guidelines as follows: Ob…
cs.CL2023★ 1 cited
Explaining Relation Classification Models with Semantic Extents
Lars Klöser, Andre Büsgen, Philipp Kohl +2
In recent years, the development of large pretrained language models, such as BERT and GPT, significantly improved information extraction systems on various tasks, including relati…
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…