Cross-media Structured Common Space for Multimedia Event Extraction
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Abstract (arXiv)
We introduce a new task, MultiMedia Event Extraction (M2E2), which aims to extract events and their arguments from multimedia documents. We develop the first benchmark and collect a dataset of 245 multimedia news articles with extensively annotated events and arguments. We propose a novel method, Weakly Aligned Structured Embedding (WASE), that encodes structured representations of semantic information from textual and visual data into a common embedding space. The structures are aligned across modalities by employing a weakly supervised training strategy, which enables exploiting available resources without explicit cross-media annotation. Compared to uni-modal state-of-the-art methods, our approach achieves 4.0% and 9.8% absolute F-score gains on text event argument role labeling and visual event extraction. Compared to state-of-the-art multimedia unstructured representations, we achieve 8.3% and 5.0% absolute F-score gains on multimedia event extraction and argument role labeling, respectively. By utilizing images, we extract 21.4% more event mentions than traditional text-only methods.
Key facts. Cited by 61 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 May 2020.
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Citing papers per year: 2021: 8; 2022: 10; 2023: 14; 2024: 11; 2025: 9; 2026: 9.
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- 2025SNaRe: Domain-aware Data Generation for Low-Resource Event Detection24 Feb 2025
- 2024SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness24 Oct 2024
- 2024Beyond Exact Match: Semantically Reassessing Event Extraction by Large Language Models12 Oct 2024
- 2024ARMADA: Attribute-Based Multimodal Data Augmentation19 Aug 2024
- 2024A Survey on Integrated Sensing, Communication, and Computation15 Aug 2024
- 2024EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain20 Jun 2024
- 2024MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling18 Jun 2024
- 2024Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles13 Apr 2024
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- 2024Event Detection from Social Media for Epidemic Prediction2 Apr 2024
- 2024Improving Event Definition Following For Zero-Shot Event Detection5 Mar 2024
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- 2023Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning15 Dec 2023
- 2023RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor5 Dec 2023
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- 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction16 Nov 2023
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- 2023Understanding Social Media Cross-Modality Discourse in Linguistic Space26 Feb 2023
- 2023In Defense of Structural Symbolic Representation for Video Event-Relation Prediction6 Jan 2023
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- 2022Video Event Extraction via Tracking Visual States of Arguments3 Nov 2022
- 2022Language Model Pre-Training with Sparse Latent Typing23 Oct 2022
- 2022Beyond Grounding: Extracting Fine-Grained Event Hierarchies Across Modalities14 Jun 2022
- 2022Detecting the Role of an Entity in Harmful Memes: Techniques and Their Limitations9 May 2022
- 2022Translation between Molecules and Natural Language25 Apr 2022
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50 newest of 61 All 61 (JSON)
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- 2023Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioningcited by 49
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- 2022Vision and Structured-Language Pretraining for Cross-Modal Food Retrievalcited by 3
- 2024ARMADA: Attribute-Based Multimodal Data Augmentationcited by 2
- 2026NEST: Narrative Event Structures in Time for Long Video Understandingcited by 0
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- 2024ARMADA: Attribute-Based Multimodal Data Augmentation19 Aug 2024
- 2023Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning15 Dec 2023
- 2023ViStruct: Visual Structural Knowledge Extraction via Curriculum Guided Code-Vision Representation22 Nov 2023
- 2022Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval8 Dec 2022
- 2022CLIP-Event: Connecting Text and Images with Event Structures13 Jan 2022
- 2023Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoningcited by 45
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- 2023Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning26 May 2023
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- 2022Multi-Modal Knowledge Graph Construction and Application: A Surveycited by 74
- 2021Visual Semantic Role Labeling for Video Understandingcited by 60
- 2023Multimodal Automated Fact-Checking: A Surveycited by 53
- 2023TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extractioncited by 28
- 2021Joint Multimedia Event Extraction from Video and Articlecited by 19
- 2021MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Groundingcited by 19
- 2021What is Event Knowledge Graph: A Surveycited by 19
- 2021EventPlus: A Temporal Event Understanding Pipelinecited by 17
- 2024UMIE: Unified Multimodal Information Extraction with Instruction Tuningcited by 17
- 2021Video Question Answering with Phrases via Semantic Rolescited by 13
- 2021A Survey on Deep Learning Event Extraction: Approaches and Applicationscited by 12
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- 2026EAGER: Enhancing Generative Event Extraction via Reinforcement Learning with Verifiable Rewards24 Sep 2026
- 2026A Multi-Domain and Multi-Task Generative Framework with Explicit Task and Domain Conditioning for Cross-Domain Event Extraction24 Aug 2026
- 2026Evaluation Pitfalls and Challenges in Multimedia Event Extraction25 Jun 2026
- 2026SAMA: Semantic Anchor-aligned Augmentation for Unified Low-Resource Multimodal Information Extraction17 Jun 2026
- 2026RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction14 Feb 2026
- 2025Benchmarking and Improving LVLMs on Event Extraction from Multimedia Documents16 Sep 2025
- 2025Evaluation of Finetuned LLMs in AMR Parsing7 Aug 2025
- 2025Multimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs16 May 2025
- 2025Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction8 May 2025
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