Publications

Papers

  • [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] 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