22 citations · 32 across the 4 of their papers we have counts for
4 papers
Kleister: Key Information Extraction Datasets Involving Long Documents with Complex Layouts
Tomasz Stanisławek, Filip Graliński, Anna Wróblewska +5
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 t…
UniCase -- Rethinking Casing in Language Models
Rafal Powalski, Tomasz Stanislawek
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…
Kleister: A novel task for Information Extraction involving Long Documents with Complex Layout
Filip Graliński, Tomasz Stanisławek, Anna Wróblewska +5
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…
Named Entity Recognition -- Is there a glass ceiling?
Tomasz Stanislawek, Anna Wróblewska, Alicja Wójcicka +2
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…