Xiaohua Liu


2017

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Context Gates for Neural Machine Translation
Zhaopeng Tu | Yang Liu | Zhengdong Lu | Xiaohua Liu | Hang Li
Transactions of the Association for Computational Linguistics, Volume 5

In neural machine translation (NMT), generation of a target word depends on both source and target contexts. We find that source contexts have a direct impact on the adequacy of a translation while target contexts affect the fluency. Intuitively, generation of a content word should rely more on the source context and generation of a functional word should rely more on the target context. Due to the lack of effective control over the influence from source and target contexts, conventional NMT tends to yield fluent but inadequate translations. To address this problem, we propose context gates which dynamically control the ratios at which source and target contexts contribute to the generation of target words. In this way, we can enhance both the adequacy and fluency of NMT with more careful control of the information flow from contexts. Experiments show that our approach significantly improves upon a standard attention-based NMT system by +2.3 BLEU points.

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Chunk-Based Bi-Scale Decoder for Neural Machine Translation
Hao Zhou | Zhaopeng Tu | Shujian Huang | Xiaohua Liu | Hang Li | Jiajun Chen
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

In typical neural machine translation (NMT), the decoder generates a sentence word by word, packing all linguistic granularities in the same time-scale of RNN. In this paper, we propose a new type of decoder for NMT, which splits the decode state into two parts and updates them in two different time-scales. Specifically, we first predict a chunk time-scale state for phrasal modeling, on top of which multiple word time-scale states are generated. In this way, the target sentence is translated hierarchically from chunks to words, with information in different granularities being leveraged. Experiments show that our proposed model significantly improves the translation performance over the state-of-the-art NMT model.

2016

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Modeling Coverage for Neural Machine Translation
Zhaopeng Tu | Zhengdong Lu | Yang Liu | Xiaohua Liu | Hang Li
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2015

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Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation
Dehong Gao | Furu Wei | Wenjie Li | Xiaohua Liu | Ming Zhou
Computational Linguistics, Volume 41, Issue 1 - March 2015

2013

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Entity Linking for Tweets
Xiaohua Liu | Yitong Li | Haocheng Wu | Ming Zhou | Furu Wei | Yi Lu
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2012

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Graph-Based Multi-Tweet Summarization using Social Signals
Xiaohua Liu | Yitong Li | Furu Wei | Ming Zhou
Proceedings of COLING 2012

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Lost in Translations? Building Sentiment Lexicons using Context Based Machine Translation
Xinfan Meng | Furu Wei | Ge Xu | Longkai Zhang | Xiaohua Liu | Ming Zhou | Houfeng Wang
Proceedings of COLING 2012: Posters

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Joint Inference of Named Entity Recognition and Normalization for Tweets
Xiaohua Liu | Ming Zhou | Xiangyang Zhou | Zhongyang Fu | Furu Wei
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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Cross-Lingual Mixture Model for Sentiment Classification
Xinfan Meng | Furu Wei | Xiaohua Liu | Ming Zhou | Ge Xu | Houfeng Wang
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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QuickView: NLP-based Tweet Search
Xiaohua Liu | Furu Wei | Ming Zhou | QuickView Team Microsoft
Proceedings of the ACL 2012 System Demonstrations

2011

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Target-dependent Twitter Sentiment Classification
Long Jiang | Mo Yu | Ming Zhou | Xiaohua Liu | Tiejun Zhao
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

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Recognizing Named Entities in Tweets
Xiaohua Liu | Shaodian Zhang | Furu Wei | Ming Zhou
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies

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Engkoo: Mining the Web for Language Learning
Matthew R. Scott | Xiaohua Liu | Ming Zhou | Microsoft Engkoo Team
Proceedings of the ACL-HLT 2011 System Demonstrations

2010

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Semantic Role Labeling for News Tweets
Xiaohua Liu | Kuan Li | Bo Han | Ming Zhou | Long Jiang | Zhongyang Xiong | Changning Huang
Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)

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Collective Semantic Role Labeling on Open News Corpus by Leveraging Redundancy
Xiaohua Liu | Kuan Li | Bo Han | Ming Zhou | Long Jiang | Daniel Tse | Zhongyang Xiong
Coling 2010: Posters

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SRL-Based Verb Selection for ESL
Xiaohua Liu | Bo Han | Kuan Li | Stephan Hyeonjun Stiller | Ming Zhou
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

2009

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Mining Bilingual Data from the Web with Adaptively Learnt Patterns
Long Jiang | Shiquan Yang | Ming Zhou | Xiaohua Liu | Qingsheng Zhu
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP

2007

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Detection of Non-Native Sentences Using Machine-Translated Training Data
John Lee | Ming Zhou | Xiaohua Liu
Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers

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Detecting Erroneous Sentences using Automatically Mined Sequential Patterns
Guihua Sun | Xiaohua Liu | Gao Cong | Ming Zhou | Zhongyang Xiong | John Lee | Chin-Yew Lin
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics

2003

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Extracting Chinese Multi-Word Units from Large-Scale Balanced Corpus
Jianzhou Liu | Tingting He | Xiaohua Liu
Proceedings of the 17th Pacific Asia Conference on Language, Information and Computation