Challenges and applications of automated extraction of socio-political events from text (case 2021): Workshop and shared task report
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 …
political events from news, organized by the Emerging Market Welfare Project, with the …
Conflibert: A pre-trained language model for political conflict and violence
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 …
political science and policy communities due in large part to the vast volumes of specialized …
Multilingual protest news detection-shared task 1, case 2021
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 …
multilingual, cross-lingual, few-shot, and zero-shot settings for socio-political event …
Analyzing ELMo and DistilBERT on socio-political news classification
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 …
representations, ELMo and DistilBERT, on supervised learning of binary protest news …
Cross-context news corpus for protest event-related knowledge base construction
We describe a gold standard corpus of protest events that comprise various local and
international English language sources from various countries. The corpus contains …
international English language sources from various countries. The corpus contains …
Overview of clef 2019 lab protestnews: Extracting protests from news in a cross-context setting
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 …
News in the context of generalizable natural language processing. The lab consists of …
Automated extraction of socio-political events from news (AESPEN): Workshop and shared task report
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 …
scope of a workshop and a shared task we organized at Language Resources and …
Tf-idf character n-grams versus word embedding-based models for fine-grained event classification: a preliminary study
J Piskorski, G Jacquet - … of the Workshop on Automated Extraction …, 2020 - aclanthology.org
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 …
domain-specific event type taxonomies has been acknowledged by many organisations …
Confli-t5: An autoprompt pipeline for conflict related text augmentation
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 …
been crucial for scientists to analyze political unrest and violence, prevent harm, and …
Random sampling in corpus design: Cross-context generalizability in automated multicountry protest event collection
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 …
learning system that is designed for automatically collecting protest information in a cross …