Syntactic Dependency Representations in Neural Relation Classification

05/28/2018

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by   Farhad Nooralahzadeh, et al.

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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.