Xinchi Chen

Gated Recursive Neural Network for Chinese Word Segmentation

2015

Xinchi Chen, Xipeng Qiu, Chenxi Zhu, Xuanjing Huang. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.

Long Short-Term Memory Neural Networks for Chinese Word Segmentation

2015

Currently most of state-of-the-art methods for Chinese word segmentation are based on supervised learning, whose features are mostly extracted from a local context.These methods cannot utilize the long distance information which is also crucial for …

Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents

2015

Neural network based methods have obtained great progress on a variety of natural language processing tasks. However, it is still a challenge task to model long texts, such as sentences and documents. In this paper, …

Adversarial Multi-Criteria Learning for Chinese Word Segmentation

2017

Different linguistic perspectives causes many diverse segmentation criteria for Chinese word segmentation (CWS). Most existing methods focus on improve the performance for each single criterion. However, it is interesting to exploit these different criteria and …