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Old Age
Efficient EUD Parsing
June 01, 2020 ยท Declared Dead ยท ๐ International Workshop/Conference on Parsing Technologies
"No code URL or promise found in abstract"
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Authors
Mathieu Dehouck, Mark Anderson, Carlos Gรณmez-Rodrรญguez
arXiv ID
2006.00838
Category
cs.CL: Computation & Language
Citations
11
Venue
International Workshop/Conference on Parsing Technologies
Last Checked
5 months ago
Abstract
We present the system submission from the FASTPARSE team for the EUD Shared Task at IWPT 2020. We engaged with the task by focusing on efficiency. For this we considered training costs and inference efficiency. Our models are a combination of distilled neural dependency parsers and a rule-based system that projects UD trees into EUD graphs. We obtained an average ELAS of 74.04 for our official submission, ranking 4th overall.
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