10 citations · 26 across the 7 of their papers we have counts for
7 papers
Verifying the Robustness of Automatic Credibility Assessment
Piotr Przybyła, Alexander Shvets, Horacio Saggion
Text classification methods have been widely investigated as a way to detect content of low credibility: fake news, social media bots, propaganda, etc. Quite accurate models (likel…
PolQA: Polish Question Answering Dataset
Piotr Rybak, Piotr Przybyła, Maciej Ogrodniczuk
Recently proposed systems for open-domain question answering (OpenQA) require large amounts of training data to achieve state-of-the-art performance. However, data annotation is kn…
Deanthropomorphising NLP: Can a Language Model Be Conscious?
Matthew Shardlow, Piotr Przybyła
This work is intended as a voice in the discussion over previous claims that a pretrained large language model (LLM) based on the Transformer model architecture can be sentient. Su…
Investigating Text Simplification Evaluation
Laura Vásquez-Rodríguez, Matthew Shardlow, Piotr Przybyła +1
Modern text simplification (TS) heavily relies on the availability of gold standard data to build machine learning models. However, existing studies show that parallel TS corpora c…
Generalisation of the identity method for determination of high-order moments of multiplicity distributions with a software implementation
Maja Mackowiak-Pawlowska, Piotr Przybyla
The incomplete particle identification limits the experimentally-available phase space region for identified particle analysis. This problem affects ongoing fluctuation and correla…
How big is big enough? Unsupervised word sense disambiguation using a very large corpus
Piotr Przybyła
In this paper, the problem of disambiguating a target word for Polish is approached by searching for related words with known meaning. These relatives are used to build a training…
Boosting Question Answering by Deep Entity Recognition
Piotr Przybyła
In this paper an open-domain factoid question answering system for Polish, RAFAEL, is presented. The system goes beyond finding an answering sentence; it also extracts a single str…