Xiaoyan Zhang


2019

pdf bib
A Neural Multi-digraph Model for Chinese NER with Gazetteers
Ruixue Ding | Pengjun Xie | Xiaoyan Zhang | Wei Lu | Linlin Li | Luo Si
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Gazetteers were shown to be useful resources for named entity recognition (NER). Many existing approaches to incorporating gazetteers into machine learning based NER systems rely on manually defined selection strategies or handcrafted templates, which may not always lead to optimal effectiveness, especially when multiple gazetteers are involved. This is especially the case for the task of Chinese NER, where the words are not naturally tokenized, leading to additional ambiguities. To automatically learn how to incorporate multiple gazetteers into an NER system, we propose a novel approach based on graph neural networks with a multi-digraph structure that captures the information that the gazetteers offer. Experiments on various datasets show that our model is effective in incorporating rich gazetteer information while resolving ambiguities, outperforming previous approaches.

2008

pdf bib
Story Link Detection based on Dynamic Information Extending
Xiaoyan Zhang | Ting Wang | Huowang Chen
Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-I

pdf bib
The Effects of Formal Schema on Reading Comprehension — An Experiment with Chinese EFL Readers
Xiaoyan Zhang
International Journal of Computational Linguistics & Chinese Language Processing, Volume 13, Number 2, June 2008