61 citations · 107 across the 12 of their papers we have counts for
4 papers · 1 filter
Application of the interactive Leipzig Corpus Miner as a generic research platform for the use in the social sciences
Christian Kahmann, Andreas Niekler, Gregor Wiedemann
This article introduces to the interactive Leipzig Corpus Miner (iLCM) - a newly released, open-source software to perform automatic content analysis. Since the iLCM is based on th…
Small-Text: Active Learning for Text Classification in Python
Christopher Schröder, Lydia Müller, Andreas Niekler +1
We introduce small-text, an easy-to-use active learning library, which offers pool-based active learning for single- and multi-label text classification in Python. It features nume…
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers
Christopher Schröder, Andreas Niekler, Martin Potthast
Active learning is the iterative construction of a classification model through targeted labeling, enabling significant labeling cost savings. As most research on active learning h…
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
Christopher Schröder, Kim Bürgl, Yves Annanias +7
Open pit mines left many regions worldwide inhospitable or uninhabitable. To put these regions back into use, entire stretches of land must be renaturalized. For the sustainable su…