Result Details

IDIAPERS @ CASE22-TASK 3: Event Causality Identification

Created: 2022
Type
software
Language
English
Authors
Fajčík Martin, Ing., Ph.D., DCGM (FIT)
Motlíček Petr, doc. Ing., Ph.D., DCGM (FIT)
Smrž Pavel, doc. RNDr., Ph.D., DCGM (FIT)
Description

Official implementation of the system by the IDIAPers team published in conference papers from the CASE22@EMNLP workshop. The papers are available at "https://preview.aclanthology.org/emnlp-22-ingestion/volumes/2022.case-1/".

Keywords

causal event extraction, causal event, cause, effect, signal, newsmedia, few-shot learning, classifier, causal relation identification, causal event identification, ensembling

URL
License
In order to use the result by another entity, it is always necessary to acquire a license
License Fee
The licensor does not require a license fee for the result
License Conditions

https://github.com/idiap/cncsharedtask/blob/main/LICENSE

Projects
Moderní metody zpracování, analýzy a zobrazování multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-20-6460, start: 2020-03-01, end: 2023-02-28, completed
Departments
Department of Computer Graphics and Multimedia (DCGM)
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