Khanh Duy Nguyen
2024
Schema-Guided Culture-Aware Complex Event Simulation with Multi-Agent Role-Play
Sha Li
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Revanth Gangi Reddy
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Khanh Duy Nguyen
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Qingyun Wang
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Yi Fung
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Chi Han
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Jiawei Han
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Kartik Natarajan
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Clare R. Voss
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Heng Ji
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Complex news events, such as natural disasters and socio-political conflicts, require swift responses from the government and society. Relying on historical events to project the future is insufficient as such events are sparse and do not cover all possible conditions and nuanced situations. Simulation of these complex events can help better prepare and reduce the negative impact. We develop a controllable complex news event simulator guided by both the event schema representing domain knowledge about the scenario and user-provided assumptions representing case-specific conditions.As event dynamics depend on the fine-grained social and cultural context, we further introduce a geo-diverse commonsense and cultural norm-aware knowledge enhancement component.To enhance the coherence of the simulation, apart from the global timeline of events,we take an agent-based approach to simulate the individual character states, plans, and actions. By incorporating the schema and cultural norms, our generated simulations achieve much higher coherence and appropriateness and are received favorably by participants from a humanitarian assistance organization.
2023
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor
Khanh Duy Nguyen
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Zixuan Zhang
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Reece Suchocki
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Sha Li
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Martha Palmer
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Susan Windisch Brown
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Jiawei Han
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Heng Ji
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
In this paper, we present RESIN-EDITOR, an interactive event graph visualizer and editor designed for analyzing complex events. Our RESIN-EDITOR system allows users to render and freely edit hierarchical event graphs extracted from multimedia and multi-document news clusters with guidance from human-curated event schemas. RESIN-EDITOR’s unique features include hierarchical graph visualization, comprehensive source tracing, and interactive user editing, which significantly outperforms existing Information Extraction (IE) visualization tools in both IE result analysis and general model improvements. In our evaluation of RESIN-EDITOR, we demonstrate ways in which our tool is effective in understanding complex events and enhancing system performances. The source code, a video demonstration, and a live website for RESIN-EDITOR have been made publicly available.
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Co-authors
- Sha Li 2
- Jiawei Han 2
- Heng Ji 2
- Revanth Gangi Reddy 1
- Qingyun Wang 1
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