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    <abstract>This paper presents an overview of the 9th Workshop on Event Extraction and Understanding: Challenges and Applications (EEUCA 2026), held in conjunction with ACL 2026. Formerly known as CASE, the workshop continues its mission of bringing together researchers from natural language processing, machine learning, computational social science, and related disciplines to advance research on event extraction and understanding. This year’s edition particularly emphasized the growing influence of large language models (LLMs), multimodal learning, and weakly supervised methodologies in event extraction research. The workshop featured six regular research papers covering topics such as low-resource event extraction, reflective multi-agent architectures, symbolic auditing of procedural events, geopolitical event extraction, and generative event extraction strategies. In addition, EEUCA 2026 hosted two shared tasks focusing on toxicity detection in gaming communities and multimodal vaccine-critical meme analysis, attracting broad international participation and encouraging research on socially impactful applications of AI. The workshop highlights current advances, emerging challenges, and future directions in multilingual, multimodal, and socially aware event extraction systems.</abstract>
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%0 Conference Proceedings
%T Overview of the Workshop on Event Extraction and Understanding: Challenges and Applications
%A Hürriyetoğlu, Ali
%A Thapa, Surendrabikram
%A Tanev, Hristo
%A Thapa, Laxmi
%A Adhikari, Surabhi
%Y Hürriyetoğlu, Ali
%Y Thapa, Surendrabikram
%Y Tanev, Hristo
%S Proceedings of the 9th Workshop on Event Extraction and Understanding: Challenges and Applications (EEUCA 2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-402-6
%F hurriyetoglu-etal-2026-overview
%X This paper presents an overview of the 9th Workshop on Event Extraction and Understanding: Challenges and Applications (EEUCA 2026), held in conjunction with ACL 2026. Formerly known as CASE, the workshop continues its mission of bringing together researchers from natural language processing, machine learning, computational social science, and related disciplines to advance research on event extraction and understanding. This year’s edition particularly emphasized the growing influence of large language models (LLMs), multimodal learning, and weakly supervised methodologies in event extraction research. The workshop featured six regular research papers covering topics such as low-resource event extraction, reflective multi-agent architectures, symbolic auditing of procedural events, geopolitical event extraction, and generative event extraction strategies. In addition, EEUCA 2026 hosted two shared tasks focusing on toxicity detection in gaming communities and multimodal vaccine-critical meme analysis, attracting broad international participation and encouraging research on socially impactful applications of AI. The workshop highlights current advances, emerging challenges, and future directions in multilingual, multimodal, and socially aware event extraction systems.
%U https://aclanthology.org/2026.eeuca-1.1/
%P 1-7

Markdown (Informal)

[Overview of the Workshop on Event Extraction and Understanding: Challenges and Applications](https://aclanthology.org/2026.eeuca-1.1/) (Hürriyetoğlu et al., EEUCA 2026)

• Overview of the Workshop on Event Extraction and Understanding: Challenges and Applications (Hürriyetoğlu et al., EEUCA 2026)

ACL

• Ali Hürriyetoğlu, Surendrabikram Thapa, Hristo Tanev, Laxmi Thapa, and Surabhi Adhikari. 2026. Overview of the Workshop on Event Extraction and Understanding: Challenges and Applications. In Proceedings of the 9th Workshop on Event Extraction and Understanding: Challenges and Applications (EEUCA 2026), pages 1–7, San Diego, California, USA. Association for Computational Linguistics.