LAMBERT: Layout-Aware Language Modeling for Information Extraction Ł Garncarek, R Powalski, T Stanisławek, B Topolski, P Halama, M Turski, ... International Conference on Document Analysis and Recognition, 532-547, 2021 | 123 | 2021 |
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts T Stanisławek, F Graliński, A Wróblewska, D Lipiński, A Kaliska, ... arXiv preprint arXiv:2105.05796, 2021 | 82 | 2021 |
DUE: End-to-End Document Understanding Benchmark Ł Borchmann, M Pietruszka, T Stanislawek, D Jurkiewicz, M Turski, ... Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021 | 59 | 2021 |
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them D Jurkiewicz, Ł Borchmann, I Kosmala, F Graliński arXiv preprint arXiv:2005.07934, 2020 | 42 | 2020 |
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout F Graliński, T Stanisławek, A Wróblewska, D Lipiński, A Kaliska, ... arXiv preprint arXiv:2003.02356, 2020 | 42 | 2020 |
GEval: Tool for debugging NLP datasets and models F Gralinski, A Wróblewska, T Stanisławek, K Grabowski, T Górecki Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting …, 2019 | 36 | 2019 |
PSI-toolkit: A natural language processing pipeline F Graliński, K Jassem, M Junczys-Dowmunt Computational Linguistics, 27-39, 2013 | 33 | 2013 |
Computational Lexicography of Multi-Word Units. How Efficient Can It Be? F Gralinski, A Savary, M Czerepowicka, F Makowiecki Proceedings of the 2010 Workshop on Multiword Expressions: from Theory to …, 2010 | 29 | 2010 |
Named entity recognition in machine anonymization F Graliński, K Jassem, M Marcińczuk, P Wawrzyniak Recent Advances in Intelligent Information Systems, 247-260, 2009 | 27 | 2009 |
Gonito. net-open platform for research competition, cooperation and reproducibility F Gralinski, R Jaworski, Ł Borchmann, P Wierzchon Proceedings of the 4REAL Workshop: Workshop on Research Results …, 2016 | 26 | 2016 |
LAMBERT: Layout-Aware language Modeling using BERT for information extraction Ł Garncarek, R Powalski, T Stanisławek, B Topolski, P Halama, ... arXiv preprint arXiv:2002.08087, 2020 | 23 | 2020 |
Contract discovery: Dataset and a few-shot semantic retrieval challenge with competitive baselines Ł Borchmann, D Wiśniewski, A Gretkowski, I Kosmala, D Jurkiewicz, ... arXiv preprint arXiv:1911.03911, 2019 | 20 | 2019 |
An environment for named entity recognition and translation F Graliński, K Jassem, M Marcińczuk Proceedings of the 13th Annual Conference of the European Association for …, 2009 | 20 | 2009 |
Approaching nested named entity recognition with parallel LSTM-CRFS Ł Borchmann, A Gretkowski, F Gralinski Proceedings of the PolEval 2018 Workshop, 63-73, 2018 | 16 | 2018 |
Text normalization as a special case of machine translation F Graliński, K Jassem, A Wagner, M Wypych Proceedings of the International Multiconference on Computer Science and …, 2006 | 16 | 2006 |
Polish digital libraries as a text corpus F Graliński Proceedings of 6th Language & Technology Conference, 509-513, 2013 | 14 | 2013 |
Z kart historii „parcia na” neologizmy,„ P Wierzchoń, F Graliński Poradnik Językowy 4, 110-129, 2016 | 10 | 2016 |
Znikająca nerka: mały leksykon współczesnych legend miejskich F Graliński, H Sawka Media Rodzina, 2012 | 10 | 2012 |
From Dataset Recycling to Multi-Property Extraction and Beyond T Dwojak, M Pietruszka, Ł Borchmann, J Chłędowski, F Graliński arXiv preprint arXiv:2011.03228, 2020 | 8 | 2020 |
Badania nad współczesnym uzusem i jego ewolucją w świetle danych gromadzonych metodami lingwistyki komputerowej. Na wybranych przykładach z zakresu morfologii, składni i leksyki F Graliński, J Liberek, P Wierzchoń Wybrane aspekty badań nad normą językową, 49-85, 2018 | 8 | 2018 |