2 citations · 2 across the 2 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…