13 citations · 19 across the 6 of their papers we have counts for
6 papers
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts
Vít Novotný, Kristýna Luger, Michal Štefánik +2
Although pre-trained named entity recognition (NER) models are highly accurate on modern corpora, they underperform on historical texts due to differences in language OCR errors. I…
Adaptor: Objective-Centric Adaptation Framework for Language Models
Michal Štefánik, Vít Novotný, Nikola Groverová +1
Progress in natural language processing research is catalyzed by the possibilities given by the widespread software frameworks. This paper introduces Adaptor library that transpose…
Regressive Ensemble for Machine Translation Quality Evaluation
Michal Štefánik, Vít Novotný, Petr Sojka
This work introduces a simple regressive ensemble for evaluating machine translation quality based on a set of novel and established metrics. We evaluate the ensemble using a corre…
WebMIaS on Docker: Deploying Math-Aware Search in a Single Line of Code
Dávid Lupták, Vít Novotný, Michal Štefánik +1
Math informational retrieval (MIR) search engines are absent in the wide-spread production use, even though documents in the STEM fields contain many mathematical formulae, which a…
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses
Eniafe Festus Ayetiran, Petr Sojka, Vít Novotný
Several language applications often require word semantics as a core part of their processing pipeline, either as precise meaning inference or semantic similarity. Multi-sense embe…
One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages
Vít Novotný, Eniafe Festus Ayetiran, Dalibor Bačovský +3
Unsupervised representation learning of words from large multilingual corpora is useful for downstream tasks such as word sense disambiguation, semantic text similarity, and inform…