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Syntactic Dependency Representations in Neural Relation Classification

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(2018)

Аннотация

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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Пользователи данного ресурса

  • @schwemmlein
  • @dblp

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