Efficient, Lexicon-Free OCR using Deep Learning. - Marcin Namysl; Iuliu Konya (ICDAR, 2019)

NAT: Noise-Aware Training for Robust Neural Sequence Labeling. - Marcin Namysl; Sven Behnke; Joachim Köhler (ACL, 2020)

Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling. - Marcin Namysl; Sven Behnke; Joachim Köhler (ACL/IJCNLP (Findings), 2021)

Tab.IAIS: Flexible Table Recognition and Semantic Interpretation System. - Marcin Namysl; Alexander M. Esser; Sven Behnke; Joachim Köhler (CoRR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Flexible Table Recognition and Semantic Interpretation System. - Marcin Namysl; Alexander M. Esser; Sven Behnke; Joachim Köhler (VISIGRAPP (4: VISAPP), 2022)

Benchmarking table recognition performance on biomedical literature on neurological disorders. - Tim Adams; Marcin Namysl; Alpha Tom Kodamullil; Sven Behnke; Marc Jacobs 001 (Bioinform., 2022)

A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism. - Vanessa Lage-Rupprecht; Bruce Schultz; Justus Dick; Marcin Namysl; Andrea Zaliani; Stephan Gebel; Ole Pless; Jeanette Reinshagen; Bernhard Ellinger; Christian Ebeling; Alexander M. Esser; Marc Jacobs 001; et al. (Patterns, 2022)

A hybrid approach for identifying drug repurposing candidates and their mechanisms: An interview with Vanessa Lage-Rupprecht and two co-authors. - Vanessa Lage-Rupprecht; Bruce Schultz; Marcin Namysl (Patterns, 2022)

Semantic Extraction of Key Figures and Their Properties From Tax Legal Texts Using Neural Models. - Daniel Steinigen; Marcin Namysl; Markus Hepperle; Jan Krekeler; Susanne Landgraf (ASAIL@ICAIL, 2023)

Robust Information Extraction From Unstructured Documents. - Marcin Namysl (2023)

Flexible Hybrid Table Recognition and Semantic Interpretation System. - Marcin Namysl; Alexander M. Esser; Sven Behnke; Joachim Köhler (SN Comput. Sci., 2023)