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Zhao, Hai - Department of Computer Science, Shanghai Jiao Tong University
Multilingual Dependency Learning: A Huge Feature Engineering Method to Semantic Dependency Parsing
Multilingual Dependency Learning: Exploiting Rich Features for Tagging Syntactic and Semantic Dependencies
Character-Level Dependencies in Chinese: Usefulness and Learning Department of Chinese, Translation and Linguistics
An Empirical Comparison of Goodness Measures for Unsupervised Chinese Word Segmentation with a Unified Framework
Improvement on Response Performance of Min-Max Modular Classifier by
An Improved Chinese Word Segmentation System with Conditional Random Field
Proceedings of the 10th Conference of the Pacific Association for Computational Linguistics, pages 6674. This work is licensed under a Creative Commons Attribution 3.0 License (http://creativecommons.org/licenses/by/3.0/).
On Efficient Selection of Binary Classifiers for Min-Max Modular Classifier
Unsupervised Segmentation Helps Supervised Learning of Character Tagging for Word Segmentation and Named Entity Recognition