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.
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 • 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 • 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 • 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.