In this paper we present two approaches for detection of socio political events: the first is based on manually crafted keyword combinations and the second one is based on a BERT classifier.
The paper compares the performance of two event detection systems, created at the TMA/CC on a dataset of socio-political events created at the Joint Research Centre.
We also review in the related work section the most important resources and approaches for event extraction in the recent years.
CARTIER Emmanuel;
TANEV Hristo;
2024-10-31
ELRA Language Resource Association
JRC137305
978-2-493814-26-5 (online),
https://aclanthology.org/2024.politicalnlp-1.2.pdf,
https://publications.jrc.ec.europa.eu/repository/handle/JRC137305,
This document is only visible at the Commission level.
You are not authorized to publish or distribute it outside the European Commission.
This is a public document. You can share this publication.
Additional supporting files
| File name | Description | File type | |
|---|
