2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CL2021
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…
cs.CL2017★ 2 cited
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…
cs.CL2016
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…