Publications
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Papers
- [l] Information theory unravels the subtext in Chekhov
J. Nathanael Philipp, Michael Richter, Olav Mueller-Reichau, Matthias Irmer
In Digital Humanities Quarterly 19.2 (2025) https://dhq.digitalhumanities.org/vol/19/2/000774/000774.html - [l] Surprisal in Action: A Comparative Study of LDA and LSA for Keyword Extraction
J. Nathanael Philipp, Max Kölbl, Michael Richter
In Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025) https://aclanthology.org/2025.konvens-1.1/ - [l] Can information theory unravel the subtext in a Chekhovian short story?
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) https://aclanthology.org/2025.bsnlp-1.10 - [l] The role of information in modeling German intensifiers
J. Nathanael Philipp, Michael Richter, Tatjana Scheffler, Roeland van Hout
In Information structure and information theory. 2024. DOI: 10.5281/zenodo.13383791 - [l] Are idioms surprising?
J. Nathanael Philipp, Michael Richter, Erik Daas, Max Kölbl
In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023) https://aclanthology.org/2023.konvens-main.15 - [l] Perplexed by Idioms?
J. Nathanael Philipp, Max Kölbl, Erik Daas, Yuki Kyogoku, Michael Richter
In Knowledge Graphs: Semantics, Machine Learning, and Languages. 2023 IOS Press, 70-76. DOI: 10.3233/SSW230006 - [l] One Step Beyond: Keyword Extraction in German Utilising Surprisal from Topic Contexts
J. Nathanael Philipp, Max Kölbl, Yuki Kyogoku, Tariq Yousef, Michael Richter
In Arai, K. (eds) Intelligent Computing. SAI 2022. DOI: 10.1007/978-3-031-10464-0_53 - [l] Putting Users in the Loop: How User Research Can Guide AI Development for a Consumer-Oriented Self-service Portal
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 Rauterberg, M. (eds) Culture and Computing. HCII 2022. DOI: 10.1007/978-3-031-05434-1_1 - [l] Beyond the Failure of Direct-Matching in Keyword Evaluation: A Sketch of a Graph Based Solution
Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef
In Frontiers in Artificial Intelligence. 2022 DOI: 10.3389/frai.2022.801564 - [l] Uniform Density in Linguistic Information derived from Dependency Structures
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 DOI: 10.5220/0000155600003116 - [l] The Semantic Level of Shannon Information: Are Highly Informative Words Good Keywords? A Study on German
Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, Tariq Yousef
In Natural Language Processing in Artificial Intelligence - NLPinAI 2020 DOI: 10.1007/978-3-030-63787-3_5 - [l] Keyword extraction in German: Information-theory vs. deep learning
Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Tariq Yousef
In ICAART 2020 Special Session NLPinAI4 DOI: 10.5220/0009374704590464 - [l] Unsupervised pretraining for text classification using siamese transfer learning
Maximilian Bryan and J. Nathanael Philipp
In Linda Cappellato, Nicola Ferro, David E. Losada, and Henning Müller, editors, CLEF 2019 Labs and Workshops, Notebook Papers. CEUR-WS.org. - [l] Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study
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): 954-976 (2019) DOI: 10.1108/JD-07-2018-0114 - [l] Convolutional attention on images for locating macular edema
Maximilian Bryan, J. Nathanael Philipp, Gerhard Heyer, Matus Rehak, Peter Wiedemann
In MIUA 2019 DOI: 10.1007/978-3-030-39343-4_33 - [l] Generierung von Trainingsdaten für die Handschrifterkennung aus TEI annotierten Dokumenten - Ein Erfahrungsbericht aus dem EU-Projekt READ
Maximilian Bryan, Tobias Hodel, Nathanael Philipp
In INF-DH 2018 DOI: 10.18420/infdh2018-11
Posters
- [l] Forschungsportal BACH
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 TUC 24 - [l] Forschungsportal BACH
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 DHDL 2023 - [l] Keyword extraction with semantic surprisal from LDA and LSA: a comparison of topic models
J. Nathanael Philipp, Max Kölbl, Yuki Kyogoku, Tariq Yousef & Michael Richter
In CLIN 33 - [l] Evaluation of CNN architectures for text detection in historical maps
J. Nathanael Philipp, Maximilian Bryan
In DATeCH 2019 - [l] Objdetect: Eine Plattform zur Visualisierung von Vorhersagen objekterkennender neuronaler Netze
J. Nathanael Philipp
In DHDL 2018