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Unsupervised Dependency Parsing

Unsupervised dependency parsing is the task of inferring the dependency parse of sentences without any labeled training data.

Description from NLP Progress

Papers

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Showing 1–10 of 24 papers

TitleStatusHype
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language ModelingCode1
Unsupervised Dependency Graph NetworkCode1
A Survey of Unsupervised Dependency Parsing—0
Corpus-Based Induction of Syntactic Structure: Models of Dependency and Constituency—0
Combining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition—0
Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data—0
Concavity and Initialization for Unsupervised Dependency Parsing—0
Enhancing Unsupervised Generative Dependency Parser with Contextual Information—0
Exploiting Reducibility in Unsupervised Dependency Parsing—0
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction—0
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