no code implementations • RANLP 2019 • Pavel P{\v{r}}ib{\'a}{\v{n}}, Tom{\'a}{\v{s}} Hercig, Josef Steinberger
Fake news detection and closely-related fact-checking have recently attracted a lot of attention.
no code implementations • WS 2019 • Jakub Piskorski, Laska Laskova, Micha{\l} Marci{\'n}czuk, Lidia Pivovarova, Pavel P{\v{r}}ib{\'a}{\v{n}}, Josef Steinberger, Roman Yangarber
The task is recognizing mentions of named entities in Web documents, their normalization, and cross-lingual linking.
no code implementations • WS 2019 • Pavel P{\v{r}}ib{\'a}{\v{n}}, Stephen Taylor
In this paper, we present our systems for the MADAR Shared Task: Arabic Fine-Grained Dialect Identification.
no code implementations • WS 2018 • Pavel P{\v{r}}ib{\'a}{\v{n}}, Ji{\v{r}}{\'\i} Mart{\'\i}nek
The goal of this task is to predict the emotion of a given tweet, from which a certain emotion word is removed.
no code implementations • SEMEVAL 2018 • Pavel P{\v{r}}ib{\'a}{\v{n}}, Tom{\'a}{\v{s}} Hercig, Ladislav Lenc
This paper describes our system created for the SemEval-2018 Task 1: Affect in Tweets (AIT-2018).