Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model
Shirin Dabbaghi Varnosfaderani, Canasai Kruengkrai, Ramin Yahyapour, Junichi Yamagishi
Abstract
FEVEROUS is a benchmark and research initiative focused on fact extraction and verification tasks involving unstructured text and structured tabular data. In FEVEROUS, existing works often rely on extensive preprocessing and utilize rule-based transformations of data, leading to potential context loss or misleading encodings. This paper introduces a simple yet powerful model that nullifies the need for modality conversion, thereby preserving the original evidence’s context. By leveraging pre-trained models on diverse text and tabular datasets and by incorporating a lightweight attention-based mechanism, our approach efficiently exploits latent connections between different data types, thereby yielding comprehensive and reliable verdict predictions. The model’s modular structure adeptly manages multi-modal information, ensuring the integrity and authenticity of the original evidence are uncompromised. Comparative analyses reveal that our approach exhibits competitive performance, aligning itself closely with top-tier models on the FEVEROUS benchmark.- Anthology ID:
- 2024.lrec-main.226
- 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:
- 2515–2519
- Language:
- URL:
- https://aclanthology.org/2024.lrec-main.226
- DOI:
- Cite (ACL):
- Shirin Dabbaghi Varnosfaderani, Canasai Kruengkrai, Ramin Yahyapour, and Junichi Yamagishi. 2024. Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 2515–2519, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based Model (Dabbaghi Varnosfaderani et al., LREC-COLING 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.226.pdf