Abstract
This submission is a paper that proposes an architecture for the relation extraction task which integrates semantic information with knowledge base modeling in a novel manner.- Anthology ID:
- 2020.deelio-1.2
- Volume:
- Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Venue:
- DeeLIO
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 11–19
- Language:
- URL:
- https://aclanthology.org/2020.deelio-1.2
- DOI:
- 10.18653/v1/2020.deelio-1.2
- Cite (ACL):
- Xiaoyu Chen and Rohan Badlani. 2020. Relation Extraction with Contextualized Relation Embedding (CRE). In Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, pages 11–19, Online. Association for Computational Linguistics.
- Cite (Informal):
- Relation Extraction with Contextualized Relation Embedding (CRE) (Chen & Badlani, DeeLIO 2020)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2020.deelio-1.2.pdf
- Code
- codchen/CRE