pyBART: Evidence-based Syntactic Transformations for IE

@inproceedings{Tiktinsky2020pyBARTES,
  title={pyBART: Evidence-based Syntactic Transformations for IE},
  author={Aryeh Tiktinsky and Yoav Goldberg and Reut Tsarfaty},
  booktitle={ACL},
  year={2020}
}
Syntactic dependencies can be predicted with high accuracy, and are useful for both machine-learned and pattern-based information extraction tasks. However, their utility can be improved. These syntactic dependencies are designed to accurately reflect syntactic relations, and they do not make semantic relations explicit. Therefore, these representations lack many explicit connections between content words, that would be useful for downstream applications. Proposals like English Enhanced UD… Expand
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