Papers Unsupervised Dependency Parsing
“Unsupervised Dependency Parsing” 태그가 달린 논문 25편 · 필터 해제
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 ParsingEnhancing Unsupervised Generative Dependency Parser with Contextual Information
Most of the unsupervised dependency parsers are based on probabilistic generative models that learn the joint distribution of the given sentence and its parse. Probabilistic generative models usually explicit decompose t…
Constituency Grammar InductionDependency Grammar InductionSentenceUnsupervised Dependency ParsingUnsupervised Learning of Syntactic Structure with Invertible Neural Projections
Unsupervised learning of syntactic structure is typically performed using generative models with discrete latent variables and multinomial parameters. In most cases, these models have not leveraged continuous word repres…
Constituency Grammar InductionDependency ParsingPOSUnsupervised Dependency ParsingCRF Autoencoder for Unsupervised Dependency Parsing
Unsupervised dependency parsing, which tries to discover linguistic dependency structures from unannotated data, is a very challenging task. Almost all previous work on this task focuses on learning generative models. In…
Dependency Grammar InductionUnsupervised Dependency ParsingCombining Generative and Discriminative Approaches to Unsupervised Dependency Parsing via Dual Decomposition
Unsupervised dependency parsing aims to learn a dependency parser from unannotated sentences. Existing work focuses on either learning generative models using the expectation-maximization algorithm and its variants, or l…
ClusteringDependency Grammar InductionUnsupervised Dependency ParsingCross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data
Unsupervised Dependency Parsing: Let's Use Supervised Parsers
We present a self-training approach to unsupervised dependency parsing that reuses existing supervised and unsupervised parsing algorithms. Our approach, called `iterated reranking' (IR), starts with dependency trees gen…
Dependency ParsingRerankingUnsupervised Dependency ParsingUnsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization
Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Stop-probability estimates computed on a large corpus improve Unsupervised Dependency Parsing
Unsupervised Dependency Parsing with Acoustic Cues
Unsupervised parsing is a difficult task that infants readily perform. Progress has been made on this task using text-based models, but few computational approaches have considered how infants might benefit from acoustic…
Dependency ParsingLanguage AcquisitionUnsupervised Dependency Parsing