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Piotr Przybyła

4 papers hereh-index 12831 citations34 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author1
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedHow big is big enough? Unsupervised word sense disambiguation using a very large corpus

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2023

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…

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…

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