MNER-MI: A Multi-image Dataset for Multimodal Named Entity Recognition in Social Media

Shizhou Huang, Bo Xu, Changqun Li, Jiabo Ye, Xin Lin


Abstract
Recently, multimodal named entity recognition (MNER) has emerged as a vital research area within named entity recognition. However, current MNER datasets and methods are predominantly based on text and a single accompanying image, leaving a significant research gap in MNER scenarios involving multiple images. To address the critical research gap and enhance the scope of MNER for real-world applications, we propose a novel human-annotated MNER dataset with multiple images called MNER-MI. Additionally, we construct a dataset named MNER-MI-Plus, derived from MNER-MI, to ensure its generality and applicability. Based on these datasets, we establish a comprehensive set of strong and representative baselines and we further propose a simple temporal prompt model with multiple images to address the new challenges in multi-image scenarios. We have conducted extensive experiments to demonstrate that considering multiple images provides a significant improvement over a single image and can offer substantial benefits for MNER. Furthermore, our proposed method achieves state-of-the-art results on both MNER-MI and MNER-MI-Plus, demonstrating its effectiveness. The datasets and source code can be found at https://github.com/JinFish/MNER-MI.
Anthology ID:
2024.lrec-main.1001
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
11452–11462
Language:
URL:
https://aclanthology.org/2024.lrec-main.1001
DOI:
Bibkey:
Cite (ACL):
Shizhou Huang, Bo Xu, Changqun Li, Jiabo Ye, and Xin Lin. 2024. MNER-MI: A Multi-image Dataset for Multimodal Named Entity Recognition in Social Media. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 11452–11462, Torino, Italia. ELRA and ICCL.
Cite (Informal):
MNER-MI: A Multi-image Dataset for Multimodal Named Entity Recognition in Social Media (Huang et al., LREC-COLING 2024)
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PDF:
https://preview.aclanthology.org/landing_page/2024.lrec-main.1001.pdf