33 citations · 59 across the 9 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…
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma +3
Different languages might have different word orders. In this paper, we investigate cross-lingual transfer and posit that an order-agnostic model will perform better when transferr…
Exploring Recombination for Efficient Decoding of Neural Machine Translation
Zhisong Zhang, Rui Wang, Masao Utiyama +2
In Neural Machine Translation (NMT), the decoder can capture the features of the entire prediction history with neural connections and representations. This means that partial hypo…
Fast and Accurate Neural Word Segmentation for Chinese
Deng Cai, Hai Zhao, Zhisong Zhang +3
Neural models with minimal feature engineering have achieved competitive performance against traditional methods for the task of Chinese word segmentation. However, both training a…
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification
Lianhui Qin, Zhisong Zhang, Hai Zhao +2
Implicit discourse relation classification is of great challenge due to the lack of connectives as strong linguistic cues, which motivates the use of annotated implicit connectives…