Papers with supervised parsing

2 papers
Is Supervised Syntactic Parsing Beneficial for Language Understanding Tasks? An Empirical Investigation (2021.eacl-main)

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Challenge: Traditional NLP has long held (supervised) syntactic parsing necessary for successful higher-level semantic language understanding (LU).
Approach: They empirically examine the usefulness of supervised parsing for semantic LU in LM-pretrained transformer networks.
Outcome: The proposed model is based on LM-pretrained transformer networks with a biaffine parsing head and fine-tuned for LU tasks.
The Persian Dependency Treebank Made Universal (2022.lrec-1)

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Challenge: Existing universal dependency treebanks are lacking sufficient annotated data.
Approach: They propose a method for converting Persian Dependency Treebank to Universal Dependencies using an automatic method.
Outcome: The proposed method is more compatible with Universal Dependencies than the Uppsala Persian Universal Dependency Treebank.

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