Qiuye Zhao


2017

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CASICT-DCU Neural Machine Translation Systems for WMT17
Jinchao Zhang | Peerachet Porkaew | Jiawei Hu | Qiuye Zhao | Qun Liu
Proceedings of the Second Conference on Machine Translation

2016

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A subtree-based factorization of dependency parsing
Qiuye Zhao | Qun Liu
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

We propose a dependency parsing pipeline, in which the parsing of long-distance projections and localized dependencies are explicitly decomposed at the input level. A chosen baseline dependency parsing model performs only on ‘carved’ sequences at the second stage, which are transformed from coarse constituent parsing outputs at the first stage. When k-best constituent parsing outputs are kept, a third-stage is required to search for an optimal combination of the overlapped dependency subtrees. In this sense, our dependency model is subtree-factored. We explore alternative approaches for scoring subtrees, including feature-based models as well as continuous representations. The search for optimal subset to combine is formulated as an ILP problem. This framework especially benefits the models poor on long sentences, generally improving baselines by 0.75-1.28 (UAS) on English, achieving comparable performance with high-order models but faster. For Chinese, the most notable increase is as high as 3.63 (UAS) when the proposed framework is applied to first-order parsing models.

2012

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Exploring Deterministic Constraints: from a Constrained English POS Tagger to an Efficient ILP Solution to Chinese Word Segmentation
Qiuye Zhao | Mitch Marcus
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Long-Tail Distributions and Unsupervised Learning of Morphology
Qiuye Zhao | Mitch Marcus
Proceedings of COLING 2012

2011

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Functional Elements and POS Categories
Qiuye Zhao | Mitch Marcus
Proceedings of 5th International Joint Conference on Natural Language Processing

2009

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A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
Qiuye Zhao | Mitch Marcus
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing