Abstract
This paper describes our submission for SemEval 2018 Task 7 shared task on semantic relation extraction and classification in scientific papers. Our model is based on the end-to-end relation extraction model of (Miwa and Bansal, 2016) with several enhancements such as character-level encoding attention mechanism on selecting pretrained concept candidate embeddings. Our official submission ranked the second in relation classification task (Subtask 1.1 and Subtask 2 Senerio 2), and the first in the relation extraction task (Subtask 2 Scenario 1).- Anthology ID:
- S18-1125
- Volume:
- Proceedings of the 12th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 788–792
- Language:
- URL:
- https://aclanthology.org/S18-1125
- DOI:
- 10.18653/v1/S18-1125
- Cite (ACL):
- Yi Luan, Mari Ostendorf, and Hannaneh Hajishirzi. 2018. The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 788–792, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings (Luan et al., SemEval 2018)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/S18-1125.pdf