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 • SEMEVAL 2018 • Tom{\'a}{\v{s}} Brychc{\'\i}n, Tom{\'a}{\v{s}} Hercig, Josef Steinberger, Michal Konkol
We show the word distribution in the corpus has potential for detecting discriminative attributes.
Ranked #4 on Relation Extraction on SemEval 2018 Task 10
no code implementations • SEMEVAL 2018 • Tom{\'a}{\v{s}} Hercig
This paper describes our system created for the SemEval-2018 Task 3: Irony detection in English tweets.
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).
no code implementations • IJCNLP 2017 • Michal Konkol, Tom{\'a}{\v{s}} Brychc{\'\i}n, Michal Nykl, Tom{\'a}{\v{s}} Hercig
We implement this principle by comparing the information in the word embeddings with geographical positions of cities.
no code implementations • RANLP 2017 • Tom{\'a}{\v{s}} Hercig, Ladislav Lenc
Figurative language such as irony, sarcasm, and metaphor is considered a significant challenge in sentiment analysis.
no code implementations • RANLP 2017 • Josef Steinberger, Tom{\'a}{\v{s}} Brychc{\'\i}n, Tom{\'a}{\v{s}} Hercig, Peter Krejzl
We introduce Flames Detector, an online system for measuring flames, i. e. strong negative feelings or emotions, insults or other verbal offences, in news commentaries across five languages.