Zobrazeno 1 - 10
of 261
pro vyhledávání: '"Stanislawek A"'
Autor:
Van Landeghem, Jordy, Tito, Rubén, Borchmann, Łukasz, Pietruszka, Michał, Józiak, Paweł, Powalski, Rafał, Jurkiewicz, Dawid, Coustaty, Mickaël, Ackaert, Bertrand, Valveny, Ernest, Blaschko, Matthew, Moens, Sien, Stanisławek, Tomasz
We call on the Document AI (DocAI) community to reevaluate current methodologies and embrace the challenge of creating more practically-oriented benchmarks. Document Understanding Dataset and Evaluation (DUDE) seeks to remediate the halted research p
Externí odkaz:
http://arxiv.org/abs/2305.08455
In recent years, the field of document understanding has progressed a lot. A significant part of this progress has been possible thanks to the use of language models pretrained on large amounts of documents. However, pretraining corpora used in the d
Externí odkaz:
http://arxiv.org/abs/2304.14953
Autor:
Stanisławek, Tomasz, Graliński, Filip, Wróblewska, Anna, Lipiński, Dawid, Kaliska, Agnieszka, Rosalska, Paulina, Topolski, Bartosz, Biecek, Przemysław
Publikováno v:
International Conference on Document Analysis and Recognition ICDAR 2021
The relevance of the Key Information Extraction (KIE) task is increasingly important in natural language processing problems. But there are still only a few well-defined problems that serve as benchmarks for solutions in this area. To bridge this gap
Externí odkaz:
http://arxiv.org/abs/2105.05796
Autor:
Stanislawek, Wlodek L.1 (AUTHOR) Wlodek.Stanislawek@mpi.govt.nz, Tana, Toni1 (AUTHOR), Rawdon, Thomas G.1 (AUTHOR), Cork, Susan C.2 (AUTHOR), Chen, Kylie3 (AUTHOR), Fatoyinbo, Hammed4 (AUTHOR), Cogger, Naomi4 (AUTHOR), Webby, Richard J.5 (AUTHOR), Webster, Robert G.5 (AUTHOR), Joyce, Maree1 (AUTHOR), Tuboltsev, Mary Ann6 (AUTHOR), Orr, Della1 (AUTHOR), Ohneiser, Sylvia1 (AUTHOR), Watts, Jonathan1 (AUTHOR), Riegen, Adrian C.7 (AUTHOR), McDougall, Matthew8 (AUTHOR), Klee, David8 (AUTHOR), O'Keefe, Joseph S.1 (AUTHOR)
Publikováno v:
PLoS ONE. 6/3/2024, Vol. 19 Issue 6, p1-24. 24p.
Autor:
Wlodek L. Stanislawek, Toni Tana, Thomas G. Rawdon, Susan C. Cork, Kylie Chen, Hammed Fatoyinbo, Naomi Cogger, Richard J. Webby, Robert G. Webster, Maree Joyce, Mary Ann Tuboltsev, Della Orr, Sylvia Ohneiser, Jonathan Watts, Adrian C. Riegen, Matthew McDougall, David Klee, Joseph S. O’Keefe
Publikováno v:
PLoS ONE, Vol 19, Iss 6 (2024)
Externí odkaz:
https://doaj.org/article/6a856b2b808f45dd9c3cfe260c9d5daf
Autor:
Powalski, Rafal, Stanislawek, Tomasz
In this paper, we introduce a new approach to dealing with the problem of case-sensitiveness in Language Modelling (LM). We propose simple architecture modification to the RoBERTa language model, accompanied by a new tokenization strategy, which we n
Externí odkaz:
http://arxiv.org/abs/2010.11936
Autor:
Graliński, Filip, Stanisławek, Tomasz, Wróblewska, Anna, Lipiński, Dawid, Kaliska, Agnieszka, Rosalska, Paulina, Topolski, Bartosz, Biecek, Przemysław
State-of-the-art solutions for Natural Language Processing (NLP) are able to capture a broad range of contexts, like the sentence-level context or document-level context for short documents. But these solutions are still struggling when it comes to l
Externí odkaz:
http://arxiv.org/abs/2003.02356
Autor:
Garncarek, Łukasz, Powalski, Rafał, Stanisławek, Tomasz, Topolski, Bartosz, Halama, Piotr, Turski, Michał, Graliński, Filip
Publikováno v:
In: Llad\'os J., Lopresti D., Uchida S. (eds) Document Analysis and Recognition - ICDAR 2021. ICDAR 2021. Lecture Notes in Computer Science, vol 12821. Springer, Cham
We introduce a simple new approach to the problem of understanding documents where non-trivial layout influences the local semantics. To this end, we modify the Transformer encoder architecture in a way that allows it to use layout features obtained
Externí odkaz:
http://arxiv.org/abs/2002.08087
Autor:
Stanislawek, Tomasz, Wróblewska, Anna, Wójcicka, Alicja, Ziembicki, Daniel, Biecek, Przemyslaw
Publikováno v:
23rd Conference on Computational Natural Language Learning, CoNLL 2019
Recent developments in Named Entity Recognition (NER) have resulted in better and better models. However, is there a glass ceiling? Do we know which types of errors are still hard or even impossible to correct? In this paper, we present a detailed an
Externí odkaz:
http://arxiv.org/abs/1910.02403
Publikováno v:
Journal of Medical Case Reports, Vol 16, Iss 1, Pp 1-5 (2022)
Abstract Background Remitting seronegative symmetrical synovitis with pitting edema is a rare rheumatic condition of the elderly population that is well described but whose mechanisms remain little studied. This syndrome is characterized by symmetric
Externí odkaz:
https://doaj.org/article/ad6ee136720c4728ba8c54e0f558021b