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Syntactic Dependency Representations in Neural Relation Classification
May 28, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Farhad Nooralahzadeh, Lilja รvrelid
arXiv ID
1805.11461
Category
cs.CL: Computation & Language
Citations
2
Venue
arXiv.org
Last Checked
5 months ago
Abstract
We investigate the use of different syntactic dependency representations in a neural relation classification task and compare the CoNLL, Stanford Basic and Universal Dependencies schemes. We further compare with a syntax-agnostic approach and perform an error analysis in order to gain a better understanding of the results.
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