Unsupervised Dependency Parsing
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Benchmarks
Penn Treebank
Most implemented
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Unsupervised Dependency Graph Network
CRF Autoencoder for Unsupervised Dependency Parsing
Papers
On the feasibility of dependency parsing of non-human sequences without a gold standard. Is evaluation possible in other species?
Dependency parsing consists of finding a tree representation for a sequence. Unsupervised dependency parsing aims to develop parsing methods without a gold standard during model training. In human languages, an unsupervi…
Unsupervised Dependency ParsingError Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
We address unsupervised dependency parsing by building an ensemble of diverse existing models through post hoc aggregation of their output dependency parse structures. We observe that these ensembles often suffer from lo…
Dependency ParsingDiversityUnsupervised Dependency ParsingUnsupervised Dependency Graph Network
Recent work has identified properties of pretrained self-attention models that mirror those of dependency parse structures. In particular, some self-attention heads correspond well to individual dependency types. Inspire…
Dependency ParsingLanguage ModelingLanguage ModellingMasked Language Modeling+3Unsupervised Dependency Graph Network
Recent work has identified properties of pretrained self-attention models that mirror those of dependency parse structures. In particular, some self-attention heads correspond well to individual dependency types. Inspire…
Dependency ParsingLanguage ModelingLanguage ModellingMasked Language Modeling+3StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
There are two major classes of natural language grammar -- the dependency grammar that models one-to-one correspondences between words and the constituency grammar that models the assembly of one or several corresponded …
Constituency ParsingDependency ParsingLanguage ModelingLanguage Modelling+2A Survey of Unsupervised Dependency Parsing
Syntactic dependency parsing is an important task in natural language processing. Unsupervised dependency parsing aims to learn a dependency parser from sentences that have no annotation of their correct parse trees. Des…
Dependency ParsingSurveyUnsupervised Dependency Parsing