Veröffentlichungen

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2026
Talk
Beyond the Platform: APIs as part of the Workflow von J. Nathanael Philipp in Transkribus User Conference (TUC 26)
Paper
Information theory unravels the subtext in Chekhov von J. Nathanael Philipp, Max Kölbl and Michael Richter in Proceedings of the 15th Language Resources and Evaluation Conference (LREC 2026)
Talk
Intensifying intensifiers: Variations in expressivity von oeland Van Hout, J. Nathanael Philipp, Michael Richter in 48th Annual Conference of the German Linguistic Society (DGfS 2026)
2025
Poster
Vom Issue zur Edition: Der Workflow im Forschungsportal BACH von Magdalena Auenmüller, Christine Blanken, Wolfram Enßlin, Nikolas Georgiades, Christiane Hausmann, Bernd Koska, Michael Maul, J. Nathanael Philipp, Nadine Quenouille, Till Reininghaus, Gregor Richter, Sophie Weber, Peter Wollny, Markus Zepf in Digital Humanities Day Leipzig (DHDL) 2025
Paper
Information theory unravels the subtext in Chekhov von J. Nathanael Philipp, Michael Richter, Olav Mueller-Reichau, Matthias Irmer in Digital Humanities Quarterly 19.2 (2025)
Paper
Surprisal in Action: A Comparative Study of LDA and LSA for Keyword Extraction von J. Nathanael Philipp, Max Kölbl, Michael Richter in Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025)
Paper
Can information theory unravel the subtext in a Chekhovian short story? von J. Nathanael Philipp, Olav Mueller-Reichau, Matthias Irmer, Michael Richter, Max Kölbl in Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025)
2024
Paper
The role of information in modeling German intensifiers von J. Nathanael Philipp, Michael Richter, Tatjana Scheffler, Roeland van Hout in Information structure and information theory (Language Science Press)
Poster
Forschungsportal BACH von Peter Wollny, Christine Blanken, Wolfram Enßlin, Nikolas Georgiades, Christiane Hausmann, Bernd Koska, Michael Maul, J. Nathanael Philipp, Nadine Quenouille, Till Reininghaus, Gregor Richter, Markus Zepf in Transkribus User Conference (TUC 24)
2023
Poster
Forschungsportal BACH von Peter Wollny, Christine Blanken, Wolfram Enßlin, Nikolas Georgiades, Christiane Hausmann, Bernd Koska, Michael Maul, J. Nathanael Philipp, Nadine Quenouille, Till Reininghaus, Gregor Richter, Markus Zepf in Digital Humanities Day Leipzig (DHDL) 2023
Poster
Keyword extraction with semantic surprisal from LDA and LSA: a comparison of topic models von J. Nathanael Philipp, Max Kölbl, Yuki Kyogoku, Tariq Yousef, Michael Richter in CLIN 33
Paper
Are idioms surprising? von J. Nathanael Philipp, Michael Richter, Erik Daas, Max Kölbl in Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
Paper
Perplexed von Idioms? von J. Nathanael Philipp, Max Kölbl, Erik Daas, Yuki Kyogoku, Michael Richter in Knowledge Graphs: Semantics, Machine Learning, and Languages - Proceedings of the 19th International Conference on Semantic Systems
2022
Paper
One Step Beyond: Keyword Extraction in German Utilising Surprisal from Topic Contexts von J. Nathanael Philipp, Max Kölbl, Yuki Kyogoku, Tariq Yousef, Michael Richter in Proceedings of the 2022 Computing Conference (SAI 2022)
Paper
Putting Users in the Loop: How User Research Can Guide AI Development for a Consumer-Oriented Self-service Portal von 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 in Culture and Computing (HCII 2022)
Paper
Beyond the Failure of Direct-Matching in Keyword Evaluation: A Sketch of a Graph Based Solution von Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef in Frontiers in Artificial Intelligence
Paper
Uniform Density in Linguistic Information derived from Dependency Structures von Michael Richter, Maria Bardají i Farré, Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Tariq Yousef, Gerhard Heyer, Nikolaus P. Himmelmann in ICAART 2022 Special Session NLPinAI
2021
Paper
The Semantic Level of Shannon Information: Are Highly Informative Words Good Keywords? A Study on German von Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef in Natural Language Processing in Artificial Intelligence - NLPinAI 2020 (Studies in Computational Intelligence (SCI) 939)
2020
Paper
Keyword extraction in German: Information-theory vs. deep learning von Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Tariq Yousef in ICAART 2020 Special Session NLPinAI
Paper
Convolutional attention on images for locating macular edema von Maximilian Bryan, J. Nathanael Philipp, Gerhard Heyer, Matus Rehak, Peter Wiedemann in Medical Image Understanding and Analysis (MIUA 2019)
2019
Paper
Unsupervised pretraining for text classification using siamese transfer learning von Maximilian Bryan and J. Nathanael Philipp in CLEF 2019 Labs and Workshops, Notebook Papers
Paper
Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study von Günter Mühlberger, Louise Seaward, Melissa Terras, Sofia Ares Oliveira, Vicente Bosch, Maximilian Bryan, Sebastian Colutto, Hervé Déjean, Markus Diem, Stefan Fiel, Basilis Gatos, Albert Greinoecker, Tobias Grüning, Günter Hackl, Vili Haukkovaara, Gerhard Heyer, Lauri Hirvonen, Tobias Hodel, Matti Jokinen, Philip Kahle, Mario Kallio, Frédéric Kaplan, Florian Kleber, Roger Labahn, Eva Maria Lang, Sören Laube, Gundram Leifert, Georgios Louloudis, Rory McNicholl, Jean-Luc Meunier, Johannes Michael, Elena Mühlbauer, Nathanael Philipp, Ioannis Pratikakis, Joan Puigcerver Pérez, Hannelore Putz, George Retsinas, Verónica Romero, Robert Sablatnig, Joan-Andreu Sánchez, Philip Schofield, Giorgos Sfikas, Christian Sieber, Nikolaos Stamatopoulos, Tobias Strauß, Tamara Terbul, Alejandro Héctor Toselli, Berthold Ulreich, Mauricio Villegas, Enrique Vidal, Johanna Walcher, Max Weidemann, Herbert Wurster, Konstantinos Zagoris in Journal of Documentation 75 (5)
Poster
Evaluation of CNN architectures for text detection in historical maps von J. Nathanael Philipp, Maximilian Bryan in DATeCH 2019
2018
Poster
Objdetect: Eine Plattform zur Visualisierung von Vorhersagen objekterkennender neuronaler Netze von J. Nathanael Philipp in Digital Humanities Day Leipzig (DHDL) 2018
Paper
Generierung von Trainingsdaten für die Handschrifterkennung aus TEI annotierten Dokumenten - Ein Erfahrungsbericht aus dem EU-Projekt READ von Maximilian Bryan, Tobias Hodel, Nathanael Philipp in INF-DH 2018
2017
Masterthesis
Objekterkennung mit Hilfe von Convolutional Neural Networks am Beispiel ägyptischer Hieroglyphen
2013
Bachelorthesis
Multi-Label Klassifikation am Beispiel sozialwissenschaftlicher Texte