mlsanityData to 7 Oct 2026

MEE: A Novel Multilingual Event Extraction Dataset

arXiv 2211.05955 ↗First posted 11 Nov 2022cs.CLcited by 17

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Abstract (arXiv)

Event Extraction (EE) is one of the fundamental tasks in Information Extraction (IE) that aims to recognize event mentions and their arguments (i.e., participants) from text. Due to its importance, extensive methods and resources have been developed for Event Extraction. However, one limitation of current research for EE involves the under-exploration for non-English languages in which the lack of high-quality multilingual EE datasets for model training and evaluation has been the main hindrance. To address this limitation, we propose a novel Multilingual Event Extraction dataset (MEE) that provides annotation for more than 50K event mentions in 8 typologically different languages. MEE comprehensively annotates data for entity mentions, event triggers and event arguments. We conduct extensive experiments on the proposed dataset to reveal challenges and opportunities for multilingual EE.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). Builds on 14 of its 52 references that are in the map. First posted on arXiv 11 Nov 2022.

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14 of 52 references.

References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  4. 2021Document-Level Event Argument Extraction by Conditional Generationcited by 154
  5. 2020MAVEN: A Massive General Domain Event Detection Datasetcited by 103
  6. 2019Multi-Sentence Argument Linkingcited by 80
  7. 2021Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processingcited by 68
  8. 2016Joint Extraction of Events and Entities within a Document Contextcited by 48
  9. 2020GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extractioncited by 43
  10. 2022Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extractioncited by 40
  11. 2022Dynamic Prefix-Tuning for Generative Template-based Event Extractioncited by 35
  12. 2020Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networkscited by 23
2 more
  1. 2021Cross-Task Instance Representation Interactions and Label Dependencies for Joint Information Extraction with Graph Convolutional Networkscited by 22
  2. 2020Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extractioncited by 12

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Citing papers per year: 2023: 6; 2024: 6; 2025: 5.

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  1. 2023ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learningcited by 203
  2. 2023Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedbackcited by 189
  3. 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 27
  4. 2024ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinementcited by 12
  5. 2023Contextual Label Projection for Cross-Lingual Structured Predictioncited by 9
  6. 2024Improving Event Definition Following For Zero-Shot Event Detectioncited by 7
  7. 2023MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotationcited by 6
  8. 2024SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparednesscited by 6
  9. 2025Event Extraction in Large Language Modelcited by 5
  10. 2023LEEC: A Legal Element Extraction Dataset with an Extensive Domain-Specific Label Systemcited by 4
  11. 2024Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysiscited by 2
  12. 2025SNaRe: Domain-aware Data Generation for Low-Resource Event Detectioncited by 2
5 more
  1. 2025SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detectioncited by 2
  2. 2025LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real Worldcited by 2
  3. 2024Revealing Trends in Datasets from the 2022 ACL and EMNLP Conferencescited by 0
  4. 2024Beyond Exact Match: Semantically Reassessing Event Extraction by Large Language Modelscited by 0
  5. 2025SciEvent: Benchmarking Multi-domain Scientific Event Extractioncited by 0