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2020 – today
- 2023
[c30]Lino Wehrheim, Janos Borst, Manuel Burghardt, Andreas Niekler:
"Auch heute war die Stimmung im Allgemeinen fest." Zero-Shot Klassifikation zur Bestimmung des Media Sentiment an der Berliner Börse zwischen 1872 und 1930. DHd 2023: 90- [c29]Manuel Burghardt, Nicolas Ruth, Andreas Niekler:
Tool Studies 2.0 - Zum Potenzial von Transformern für die Erkennung und Klassifikation von Software-Tools in DH-Publikationen. DHd 2023: 304 - [c28]Charlotte Knorr, Andreas Niekler, Marius Behret, Christian Pentzold:
Cultural Motifs on #bigdata - A Semi-Automated Topic Modeling from a Socio-Cultural Constructionist Perspective. DH 2023 - [c27]Andreas Niekler, Magdalena Wolska, Marvin Thiel, Matti Wiegmann, Benno Stein, Manuel Burghardt:
Marco Polo's Travels Revisited: From Motion Event Detection to Optimal Path Computation in 3D Maps. DH 2023 - [c26]Christopher Schröder, Lydia Müller, Andreas Niekler
, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. EACL (System Demonstrations) 2023: 84-95 - [c25]Janos Borst, Lino Wehrheim, Andreas Niekler, Manuel Burghardt:
An Evaluation of a Zero-Shot Approach to Aspect-Based Sentiment Classification in Historic German Stock Market Reports. FedCSIS (Communication Papers) 2023: 51-60 - [c24]Klaus Schmidt, Andreas Niekler, Cathleen Kantner, Manuel Burghardt:
Classifying Speech Acts in Political Communication: A Transformer-based Approach with Weak Supervision and Active Learning. FedCSIS 2023: 739-748 - [c23]Yves Annanias, Daniel Wiegreffe, Andreas Niekler, Marta Kuzma, Francis Harvey:
Development of a Semantic Segmentation Approach to Old-Map Comparison (Short Paper). GIScience 2023: 14:1-14:6 - [d9]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.2.0. Zenodo, 2023 [all versions]
- [d8]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.3.0. Zenodo, 2023 [all versions] - [d7]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.3.1. Zenodo, 2023 [all versions] - [d6]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.3.2. Zenodo, 2023 [all versions] - [d5]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.3.3. Zenodo, 2023 [all versions] - [i12]Fabian Ziegner, Janos Borst, Andreas Niekler, Martin Potthast:
Using Language Models on Low-end Hardware. CoRR abs/2305.02350 (2023) - 2022
- [c22]Christopher Schröder, Andreas Niekler, Martin Potthast:
Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers. ACL (Findings) 2022: 2194-2203 - [c21]Nicolas Ruth, Andreas Niekler, Manuel Burghardt:
Peeking Inside the DH Toolbox - Detection and Classification of Software Tools in DH Publications. CHR 2022: 411-423 - [c20]Janos Borst, Christofer Meinecke, Daniel Wiegreffe, Andreas Niekler:
A Demonstration System towards NLP and Knowledge Driven Data Platforms for Civil Engineering. GI-Jahrestagung 2022: 271-282 - [c19]Frank Binder, Jana Diels, Julian Balling, Oliver Albrecht, Robert Sachunsky, J. Nathanael Philipp, Yvonne Scheurer, Marlene Münsch, Markus Otto, Andreas Niekler, Gerhard Heyer, Christian Thorun:
Putting Users in the Loop: How User Research Can Guide AI Development for a Consumer-Oriented Self-service Portal. HCI (23) 2022: 3-19 - [c18]Silvia Eunice Gutiérrez De la Torre, Julian Equihua, Andreas Niekler, Manuel Burghardt:
Into the bibliography jungle: using random forests to predict dissertations' reference section. ULITE@JCDL 2022: 42-48 - [d4]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.0.0. Zenodo, 2022 [all versions] - [d3]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.0.1. Zenodo, 2022 [all versions] - [d2]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.1.0. Zenodo, 2022 [all versions] - [d1]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-Text: Active Learning for Text Classification in Python. Version 1.1.1. Zenodo, 2022 [all versions] - [i11]Janos Borst, Thomas Wencker, Andreas Niekler:
Using Text Classification with a Bayesian Correction for Estimating Overreporting in the Creditor Reporting System on Climate Adaptation Finance. CoRR abs/2211.16947 (2022) - 2021
- [c17]Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer:
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning. ACL/IJCNLP (1) 2021: 4141-4152 - [c16]Tariq Yousef, Antje Schlaf, Janos Borst, Andreas Niekler, Gerhard Heyer:
Press Freedom Monitor: Detection of Reported Press and Media Freedom Violations in Twitter and News Articles. EMNLP (Demos) 2021: 153-159 - [c15]Kim Bürgl, Lea Reinhardt, Frank Binder, Lydia Müller, Andreas Niekler:
Digitizing Drilling Logs - Challenges of typewritten forms. GI-Jahrestagung 2021: 709-718 - [c14]Martin Potthast, Sebastian Günther, Janek Bevendorff, Jan Philipp Bittner, Alexander Bondarenko, Maik Fröbe, Christian Kahmann, Andreas Niekler, Michael Völske, Benno Stein, Matthias Hagen:
The Information Retrieval Anthology. SIGIR 2021: 2550-2555 - [i10]Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann, Gerhard Heyer:
Mining Legacy Issues in Open Pit Mining Sites: Innovation & Support of Renaturalization and Land Utilization. CoRR abs/2105.05557 (2021) - [i9]Christopher Schröder, Andreas Niekler, Martin Potthast:
Uncertainty-based Query Strategies for Active Learning with Transformers. CoRR abs/2107.05687 (2021) - [i8]Christopher Schröder, Lydia Müller, Andreas Niekler, Martin Potthast:
Small-text: Active Learning for Text Classification in Python. CoRR abs/2107.10314 (2021) - [i7]Christian Kahmann, Andreas Niekler, Gregor Wiedemann:
Application of the interactive Leipzig Corpus Miner as a generic research platform for the use in the social sciences. CoRR abs/2110.02708 (2021) - 2020
- [c13]Janos Borst, Erik Körner, Kobkaew Opasjumruskit, Andreas Niekler:
Language Model CNN-driven Similarity Matching and Classification for HTML-embedded Product Data. MWPD@ISWC 2020 - [i6]Christopher Schröder, Andreas Niekler:
A Survey of Active Learning for Text Classification using Deep Neural Networks. CoRR abs/2008.07267 (2020)
2010 – 2019
- 2019
- [c12]Sven Blanck, Andreas Niekler, Marc Kaulisch:
Augmenting a Research Information System with automatically acquired category and keyword information. ISSI 2019: 2002-2013 - 2018
- [b2]Andreas Niekler:
Automatisierte Verfahren für die Themenanalyse nachrichtenorientierter Textquellen. Herbert von Halem Verlag 2018, ISBN 978-3-86962-261-3, pp. 1-258 - [c11]Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier:
ILCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. LREC 2018 - [i5]Andreas Niekler, Arnim Bleier, Christian Kahmann, Lisa Posch, Gregor Wiedemann, Kenan Erdogan, Gerhard Heyer, Markus Strohmaier:
iLCM - A Virtual Research Infrastructure for Large-Scale Qualitative Data. CoRR abs/1805.11404 (2018) - 2017
- [c10]Gregor Wiedemann, Andreas Niekler:
Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R. Teach4DH@GSCL 2017: 57-65 - [c9]Christian Kahmann, Andreas Niekler, Gerhard Heyer:
Detecting and Assessing Contextual Change in Diachronic Text Documents using Context Volatility. KDIR 2017: 135-143 - [i4]Gregor Wiedemann, Andreas Niekler:
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries. CoRR abs/1707.03217 (2017) - [i3]Andreas Niekler, Gregor Wiedemann, Gerhard Heyer:
Leipzig Corpus Miner - A Text Mining Infrastructure for Qualitative Data Analysis. CoRR abs/1707.03253 (2017) - [i2]Gerhard Heyer, Cathleen Kantner, Andreas Niekler, Max Overbeck, Gregor Wiedemann:
Modeling the dynamics of domain specific terminology in diachronic corpora. CoRR abs/1707.03255 (2017) - [i1]Christian Kahmann, Andreas Niekler, Gerhard Heyer:
Detecting and assessing contextual change in diachronic text documents using context volatility. CoRR abs/1711.05538 (2017) - 2016
- [b1]Andreas Niekler:
Automatisierte Verfahren für die Themenanalyse nachrichtenorientierter Textquellen. Leipzig University, Germany, 2016, pp. 1-233 - [c8]Miriam Butt, Gerhard Heyer, Katharina Holzinger, Cathleen Kantner, Daniel A. Keim, Jonas Kuhn, Gary S. Schaal, André Blessing, Sebastian Dumm, Mennatallah El-Assady, Valentin Gold, Annette Hautli-Janisz, Matthias Lemke, Maike Müller, Andreas Niekler, Maximilian Overbeck, Gregor Wiedemann:
Argumentanalyse in digitalen Textkorpora. DHd 2016 - [c7]Andreas Niekler, Christian Kahmann, Gerhard Heyer:
Computing Semantic Change Using Context Volatility. SEMANTiCS (Posters, Demos, SuCCESS) 2016 - [c6]Andreas Niekler:
Extracting process graphs from medical text data. ODLS 2016: 1-2 - [c5]Andreas Niekler, Christian Kahmann:
Extracting Process Graphs from Medical Text Data - An Approach Towards a Systematic Framework to Extract and Mine Medical Sequential Processes Descriptions from Large Text Sources. KEKI/NLP&DBpedia@ISWC 2016: 76-88 - 2015
- [j1]Matthias Lemke, Andreas Niekler, Gary S. Schaal, Gregor Wiedemann:
Content Analysis between Quality and Quantity - Fulfilling Blended-Reading Requirements for the Social Sciences with a Scalable Text Mining Infrastructure. Datenbank-Spektrum 15(1): 7-14 (2015) - 2014
- [c4]Gerhard Heyer, Andreas Niekler, Gregor Wiedemann:
Brauchen die Digital Humanities eine eigene Methodologie? Überlegungen zur systematischen Nutzung von Text Mining Verfahren in einem politikwissenschaftlichen Projekt. DHd 2014 - [c3]Andreas Niekler, Gregor Wiedemann, Sebastian Dumm, Gerhard Heyer:
Creating dictionaries for argument identification by reference data. DHd 2014 - [c2]Christian Haenig, Andreas Niekler, Carsten Wuensch:
PACE Corpus: a multilingual corpus of Polarity-annotated textual data from the domains Automotive and CEllphone. LREC 2014: 2219-2224 - 2012
- [c1]Andreas Niekler, Patrick Jähnichen, Gerhard Heyer:
ASV Monitor: Creating Comparability of Machine Learning Methods for Content Analysis. ECML/PKDD (2) 2012: 812-815
Coauthor Index
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