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Scientific Relation Extraction with Selectively Incorporated Concept Embeddings
August 26, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Yi Luan, Mari Ostendorf, Hannaneh Hajishirzi
arXiv ID
1808.08643
Category
cs.IR: Information Retrieval
Cross-listed
cs.CL
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper describes our submission for the SemEval 2018 Task 7 shared task on semantic relation extraction and classification in scientific papers. We extend the end-to-end relation extraction model of (Miwa and Bansal) with enhancements such as a 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).
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