33 citations · 42 across the 4 of their papers we have counts for
10 papers
Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training
Zhisong Zhang, Emma Strubell, Eduard Hovy
In this work we propose a pragmatic method that reduces the annotation cost for structured label spaces using active learning. Our approach leverages partial annotation, which redu…
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang, Emma Strubell, Eduard Hovy
In this work, we provide a survey of active learning (AL) for its applications in natural language processing (NLP). In addition to a fine-grained categorization of query strategie…
Incorporating a Local Translation Mechanism into Non-autoregressive Translation
Xiang Kong, Zhisong Zhang, Eduard Hovy
In this work, we introduce a novel local autoregressive translation (LAT) mechanism into non-autoregressive translation (NAT) models so as to capture local dependencies among tar-g…
Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma +2
Cross-lingual transfer learning has become an important weapon to battle the unavailability of annotated resources for low-resource languages. One of the fundamental techniques to…
Choosing Transfer Languages for Cross-Lingual Learning
Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee +10
Cross-lingual transfer, where a high-resource transfer language is used to improve the accuracy of a low-resource task language, is now an invaluable tool for improving performance…
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections
Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick +1
Cross-lingual transfer is an effective way to build syntactic analysis tools in low-resource languages. However, transfer is difficult when transferring to typologically distant la…