The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings

Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi


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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/S18-1125.pdf