RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor

Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, Heng Ji


Abstract
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.
Anthology ID:
2023.emnlp-demo.33
Volume:
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Month:
December
Year:
2023
Address:
Singapore
Editors:
Yansong Feng, Els Lefever
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
365–372
Language:
URL:
https://aclanthology.org/2023.emnlp-demo.33
DOI:
10.18653/v1/2023.emnlp-demo.33
Bibkey:
Cite (ACL):
Khanh Duy Nguyen, Zixuan Zhang, Reece Suchocki, Sha Li, Martha Palmer, Susan Windisch Brown, Jiawei Han, and Heng Ji. 2023. RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 365–372, Singapore. Association for Computational Linguistics.
Cite (Informal):
RESIN-EDITOR: A Schema-guided Hierarchical Event Graph Visualizer and Editor (Nguyen et al., EMNLP 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.emnlp-demo.33.pdf
Video:
 https://aclanthology.org/2023.emnlp-demo.33.mp4