CRF Autoencoder
method
ID: crfautoencoder
Related Papers
CRF Autoencoder for Unsupervised Dependency Parsing
AbstractUnsupervised 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. …...
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders
AbstractSemantic dependency parsing, which aims to find rich bi-lexical relationships, allows words to have multiple dependency heads, resulting in graph-structured representations. We propose an approach to semi-supervised learning of semantic …...
Unsupervised Cross-Lingual Adaptation of Dependency Parsers Using CRF Autoencoders
AbstractWe consider the task of cross-lingual adaptation of dependency parsers without annotated target corpora and parallel corpora. Previous work either directly applies a discriminative source parser to the target language, …...