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Sequence Tagging for Fast Dependency Parsing
(2019)
[Abstract]
Dependency parsing has been built upon the idea of using parsing methods based on shift-reduce or graph-based algorithms in order to identify binary dependency relations between the words in a sentence. In this ...
Parsing as Pretraining
(2020)
[Abstract] Recent analyses suggest that encoders pretrained for language
modeling capture certain morpho-syntactic structure.
However, probing frameworks for word vectors still do not report
results on standard setups ...
Viable Dependency Parsing as Sequence Labeling
(Association for Computational Linguistics (ACL), 2019-06)
[Abstract]: We recast dependency parsing as a sequence labeling problem, exploring several encodings of dependency trees as labels. While dependency parsing by means of sequence labeling had been attempted in existing work, ...