# Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022

arXiv: https://arxiv.org/abs/2211.11360 · HTML: https://mlsanity.com/paper/2211.11360/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 8 of its 24 references that are in the map.
- First posted on arXiv 21 Nov 2022.

## Builds on (most cited first, 8 of 8)

- [The Causal News Corpus: Annotating Causal Relations in Event Sentences from News](https://mlsanity.com/paper/2204.11714/) (2022)
- [Automated Extraction of Socio-political Events from News (AESPEN): Workshop and Shared Task Report](https://mlsanity.com/paper/2005.06070/) (2020)
- [Multilingual Open Text Release 1: Public Domain News in 44 Languages](https://mlsanity.com/paper/2201.05609/) (2022)
- [Event Coreference Resolution for Contentious Politics Events](https://mlsanity.com/paper/2203.10123/) (2022)
- [Cross-context News Corpus for Protest Events related Knowledge Base Construction](https://mlsanity.com/paper/2008.00351/) (2020)
- [Global Contentious Politics Database (GLOCON) Annotation Manuals](https://mlsanity.com/paper/2206.10299/) (2022)
- [Utilizing coarse-grained data in low-data settings for event extraction](https://mlsanity.com/paper/2205.05468/) (2022)
- [EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction](https://mlsanity.com/paper/2210.09770/) (2022)

## Built on by (most cited first, 3 of 3)

- [ARC-NLP at Multimodal Hate Speech Event Detection 2023: Multimodal Methods Boosted by Ensemble Learning, Syntactical and Entity Features](https://mlsanity.com/paper/2307.13829/) (2023)
- [ClassBases at CASE-2022 Multilingual Protest Event Detection Tasks: Multilingual Protest News Detection and Automatically Replicating Manually Created Event Datasets](https://mlsanity.com/paper/2301.06617/) (2023)
- [Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2023): Workshop and Shared Task Report](https://mlsanity.com/paper/2312.01244/) (2023)

## Abstract (arXiv)

We report results of the CASE 2022 Shared Task 1 on Multilingual Protest Event Detection. This task is a continuation of CASE 2021 that consists of four subtasks that are i) document classification, ii) sentence classification, iii) event sentence coreference identification, and iv) event extraction. The CASE 2022 extension consists of expanding the test data with more data in previously available languages, namely, English, Hindi, Portuguese, and Spanish, and adding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, document classification. The training data from CASE 2021 in English, Portuguese and Spanish were utilized. Therefore, predicting document labels in Hindi, Mandarin, Turkish, and Urdu occurs in a zero-shot setting. The CASE 2022 workshop accepts reports on systems developed for predicting test data of CASE 2021 as well. We observe that the best systems submitted by CASE 2022 participants achieve between 79.71 and 84.06 F1-macro for new languages in a zero-shot setting. The winning approaches are mainly ensembling models and merging data in multiple languages. The best two submissions on CASE 2021 data outperform submissions from last year for Subtask 1 and Subtask 2 in all languages. Only the following scenarios were not outperformed by new submissions on CASE 2021: Subtask 3 Portuguese & Subtask 4 English.