Marcin Namysl

According to our database, Marcin Namysl authored at least 12 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Flexible Hybrid Table Recognition and Semantic Interpretation System.

Marcin Namysl, Alexander M. Esser, Sven Behnke, Joachim Köhler

SN Comput. Sci., May, 2023

Robust Information Extraction From Unstructured Documents.

Marcin Namysl

PhD thesis, 2023

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

Proceedings of the 6th Workshop on Automated Semantic Analysis of Information in Legal Text co-located with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 2023

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

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, Carsten Claussen, Martin Hofmann-Apitius

Patterns, 2022

Benchmarking table recognition performance on biomedical literature on neurological disorders.

Tim Adams, Marcin Namysl, Alpha Tom Kodamullil, Sven Behnke, Marc Jacobs

Bioinform., 2022

Flexible Table Recognition and Semantic Interpretation System.

Marcin Namysl, Alexander M. Esser, Sven Behnke, Joachim Köhler

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

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, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Tab.IAIS: Flexible Table Recognition and Semantic Interpretation System.

Marcin Namysl, Alexander M. Esser, Sven Behnke, Joachim Köhler

CoRR, 2021

Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling.

Marcin Namysl, Sven Behnke, Joachim Köhler

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

NAT: Noise-Aware Training for Robust Neural Sequence Labeling.

Marcin Namysl, Sven Behnke, Joachim Köhler

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Efficient, Lexicon-Free OCR using Deep Learning.

Marcin Namysl, Iuliu Konya

Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019