[l] J. Nathanael Philipp, Michael Richter, Tatjana Scheffler, Roeland van Hout. 2024. The role of information in modeling German intensifiers. In Information structure and information theory (S. 117–145). Language Science Press. DOI: 10.5281/zenodo.13383791
[l] J. Nathanael Philipp, Michael Richter, Erik Daas, and Max Kölbl. 2023. Are idioms surprising?. In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), pages 149–154, Ingolstadt, Germany. Association for Computational Lingustics.
[l] J. Nathanael Philipp, Max Kölbl, Erik Daas, Yuki Kyogoku, Michael Richter (2023) Perplexed by Idioms? In: Knowledge Graphs: Semantics, Machine Learning, and Languages. IOS Press, 70-76. DOI: 10.3233/SSW230006
[l] J. Nathanael Philipp, Max Kölbl, Yuki Kyogoku, Tariq Yousef, Michael Richter (2022) One Step Beyond: Keyword Extraction in German Utilising Surprisal from Topic Contexts. In: Arai, K. (eds) Intelligent Computing. SAI 2022. Lecture Notes in Networks and Systems, vol 507. Springer, Cham. DOI: 10.1007/978-3-031-10464-0_53
[l] 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 (2022) Putting Users in the Loop: How User Research Can Guide AI Development for a Consumer-Oriented Self-service Portal. In: Rauterberg, M. (eds) Culture and Computing. HCII 2022. Lecture Notes in Computer Science, vol 13324. Springer, Cham. DOI: 10.1007/978-3-031-05434-1_1
[l] Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf and Tariq Yousef (2022) Beyond the Failure of Direct-Matching in Keyword Evaluation: A Sketch of a Graph Based Solution. Frontiers in Artificial Intelligence 5:801564. DOI: 10.3389/frai.2022.801564
[l] Michael Richter, Maria Bardají i Farré, Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Tariq Yousef, Gerhard Heyer, Nikolaus P. Himmelmann: Uniform Density in Linguistic Information derived from Dependency Structures. ICAART 2022 Special Session NLPinAI, Volume: Vol. 1: 496 - 503
[l] Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Clemens Rietdorf, and Tariq Yousef: The Semantic Level of Shannon Information: Are Highly Informative Words Good Keywords? A Study on German. Natural Language Processing in Artificial Intelligence - NLPinAI 2020 939 (2021): 139-161.
[l] Max Kölbl, Yuki Kyogoku, J. Nathanael Philipp, Michael Richter, Tariq Yousef: Keyword extraction in German: Information-theory vs. deep learning. ICAART 2020 Special Session NLPinAI, Volume: Vol. 1: 459 - 464
[l] Maximilian Bryan and J. Nathanael Philipp: Unsupervised pretraining for text classification using siamese transfer learning. In Linda Cappellato, Nicola Ferro, David E. Losada, and Henning Müller, editors, CLEF 2019 Labs and Workshops, Notebook Papers, September 2019. CEUR-WS.org.
[l] 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: Transforming scholarship in the archives through handwritten text recognition: Transkribus as a case study. Journal of Documentation 75(5): 954-976 (2019)
[l] Maximilian Bryan, J. Nathanael Philipp, Gerhard Heyer, Matus Rehak, Peter Wiedemann: Convolutional attention on images for locating macular edema. MIUA 2019
[l] Maximilian Bryan, Tobias Hodel, Nathanael Philipp: Generierung von Trainingsdaten für die Handschrifterkennung aus TEI annotierten Dokumenten - Ein Erfahrungsbericht aus dem EU-Projekt READ. INF-DH 2018
Posters
[l] 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: Forschungsportal BACH. TUC 24
[l] 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: Forschungsportal BACH. DHDL 2023
[l] J. Nathanael Philipp, Max Kölbl, Yuki Kyogoku, Tariq Yousef & Michael Richter: Keyword extraction with semantic surprisal from LDA and LSA: a comparison of topic models. CLIN 33 (2023)
[l] J. Nathanael Philipp, Maximilian Bryan: Evaluation of CNN architectures for text detection in historical maps. DATeCH 2019
[l] J. Nathanael Philipp: Objdetect: Eine Plattform zur Visualisierung von Vorhersagen objekterkennender neuronaler Netze. DHDL 2018
Thesis
[L] Masterthesis: Objekterkennung mit Hilfe von Convolutional Neural Networks am Beispiel ägyptischer Hieroglyphen
[L] Bachelorthesis: Multi-Label Klassifikation am Beispiel sozialwissenschaftlicher Texte
