Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations
Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary, James Route, Teruko Mitamura, Eric Nyberg
Abstract
This paper presents the submissions by TeamDr.Quad to the ACL-BioNLP 2019 shared task on Textual Inference and Question Entailment in the Medical Domain. Our system is based on the prior work Liu et al. (2019) which uses a multi-task objective function for textual entailment. In this work, we explore different strategies for generalizing state-of-the-art language understanding models to the specialized medical domain. Our results on the shared task demonstrate that incorporating domain knowledge through data augmentation is a powerful strategy for addressing challenges posed specialized domains such as medicine.- Anthology ID:
- W19-5048
- Volume:
- Proceedings of the 18th BioNLP Workshop and Shared Task
- Month:
- August
- Year:
- 2019
- Address:
- Florence, Italy
- Editors:
- Dina Demner-Fushman, Kevin Bretonnel Cohen, Sophia Ananiadou, Junichi Tsujii
- Venue:
- BioNLP
- SIG:
- SIGBIOMED
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 453–461
- Language:
- URL:
- https://aclanthology.org/W19-5048
- DOI:
- 10.18653/v1/W19-5048
- Cite (ACL):
- Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary, James Route, Teruko Mitamura, and Eric Nyberg. 2019. Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations. In Proceedings of the 18th BioNLP Workshop and Shared Task, pages 453–461, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations (Bannihatti Kumar et al., BioNLP 2019)
- PDF:
- https://preview.aclanthology.org/corrections-2024-07/W19-5048.pdf