This workshop is the fourth issue of a series of workshops on automatic extraction of socio-
political events from news, organized by the Emerging Market Welfare Project, with the …

Analyzing conflicts and political violence around the world is a persistent challenge in the
political science and policy communities due in large part to the vast volumes of specialized …

Benchmarking state-of-the-art text classification and information extraction systems in
multilingual, cross-lingual, few-shot, and zero-shot settings for socio-political event …

This study evaluates the robustness of two state-of-the-art deep contextual language
representations, ELMo and DistilBERT, on supervised learning of binary protest news …

We describe a gold standard corpus of protest events that comprise various local and
international English language sources from various countries. The corpus contains …

We present an overview of the CLEF-2019 Lab ProtestNews on Extracting Protests from
News in the context of generalizable natural language processing. The lab consists of …

We describe our effort on automated extraction of socio-political events from news in the
scope of a workshop and a shared task we organized at Language Resources and …

Automating the detection of event mentions in online texts and their classification vis-a-vis
domain-specific event type taxonomies has been acknowledged by many organisations …

Recent advances in natural language processing (NLP) and Big Data technologies have
been crucial for scientists to analyze political unrest and violence, prevent harm, and …

What is the most optimal way of creating a gold standard corpus for training a machine
learning system that is designed for automatically collecting protest information in a cross …