LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World

This paper presents LEMONADE, a large-scale conflict event dataset comprising 39,786 events across 20 languages and 171 countries, with extensive coverage of region-specific entities.LEMONADE is based on a partially reannotated subset of the Armed Conflict Location & Event Data (ACLED), which has documented global conflict events for over a decade.To address the challenge of aggregating multilingual sources for global event analysis, we introduce abstractive event extraction (AEE) and its subtask, abstractive entity linking (AEL).Unlike conventional span-based event extraction, our approach detects event arguments and entities through holistic document understanding and normalizes them across the multilingual dataset.We evaluate various large language models (LLMs) on these tasks, adapt existing zero-shot event extraction systems, and benchmark supervised models.Additionally, we introduce ZEST, a novel zero-shot retrievalbased system for AEL.Our best zero-shot system achieves an end-toend F 1 score of 58.3%, with LLMs outperforming specialized event extraction models such as GoLLIE.For entity linking, ZEST achieves an F 1 score of 45.7%, significantly surpassing OneNet, a state-of-the-art zero-shot baseline that achieves only 23.7%.However, these zeroshot results lag behind the best supervised systems by 20.1% and 37.0% in the end-to-end and AEL tasks, respectively, highlighting the need for further research. 1Former Member of Government of India: It refers to the previous administrations or representatives of India's central ... Rioters: Loosely assembled groups or mobs that engage in spontaneous or organized acts of violence ... Civilians: Civilians are unarmed and vulnerable individuals or groups who can be victims of violent acts ... Member of Government of India: The Government of India is the central authority responsible for the governance ... Women: Women are individuals identified as female who may be involved in various types of events ...

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.1325
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Topic Modeling
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article

LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World

Monica S. Lam, Haozhuo Li, Sina J. Semnani, Trey Billing et al.
Topic Modeling
article

LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World

Monica S. Lam, Haozhuo Li, Sina J. Semnani, Trey Billing, Pingyue Zhang, Manling Li, R. Daniel Beauchamp, Wanyue Zhai, Katayoun Kishi
article en

Abstract

This paper presents LEMONADE, a large-scale conflict event dataset comprising 39,786 events across 20 languages and 171 countries, with extensive coverage of region-specific entities.LEMONADE is based on a partially reannotated subset of the Armed Conflict Location & Event Data (ACLED), which has documented global conflict events for over a decade.To address the challenge of aggregating multilingual sources for global event analysis, we introduce abstractive event extraction (AEE) and its subtask, abstractive entity linking (AEL).Unlike conventional span-based event extraction, our approach detects event arguments and entities through holistic document understanding and normalizes them across the multilingual dataset.We evaluate various large language models (LLMs) on these tasks, adapt existing zero-shot event extraction systems, and benchmark supervised models.Additionally, we introduce ZEST, a novel zero-shot retrievalbased system for AEL.Our best zero-shot system achieves an end-toend F 1 score of 58.3%, with LLMs outperforming specialized event extraction models such as GoLLIE.For entity linking, ZEST achieves an F 1 score of 45.7%, significantly surpassing OneNet, a state-of-the-art zero-shot baseline that achieves only 23.7%.However, these zeroshot results lag behind the best supervised systems by 20.1% and 37.0% in the end-to-end and AEL tasks, respectively, highlighting the need for further research. 1Former Member of Government of India: It refers to the previous administrations or representatives of India's central ... Rioters: Loosely assembled groups or mobs that engage in spontaneous or organized acts of violence ... Civilians: Civilians are unarmed and vulnerable individuals or groups who can be victims of violent acts ... Member of Government of India: The Government of India is the central authority responsible for the governance ... Women: Women are individuals identified as female who may be involved in various types of events ...

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