Yuqing Guo

Also published as: Yuqing Gao


2019

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Multi-grained Attention with Object-level Grounding for Visual Question Answering
Pingping Huang | Jianhui Huang | Yuqing Guo | Min Qiao | Yong Zhu
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Attention mechanisms are widely used in Visual Question Answering (VQA) to search for visual clues related to the question. Most approaches train attention models from a coarse-grained association between sentences and images, which tends to fail on small objects or uncommon concepts. To address this problem, this paper proposes a multi-grained attention method. It learns explicit word-object correspondence by two types of word-level attention complementary to the sentence-image association. Evaluated on the VQA benchmark, the multi-grained attention model achieves competitive performance with state-of-the-art models. And the visualized attention maps demonstrate that addition of object-level groundings leads to a better understanding of the images and locates the attended objects more precisely.

2011

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DCU at Generation Challenges 2011 Surface Realisation Track
Yuqing Guo | Deirdre Hogan | Josef van Genabith
Proceedings of the 13th European Workshop on Natural Language Generation

2009

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Dependency Based Chinese Sentence Realization
Wei He | Haifeng Wang | Yuqing Guo | Ting Liu
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

2008

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Prior Derivation Models For Formally Syntax-Based Translation Using Linguistically Syntactic Parsing and Tree Kernels
Bowen Zhou | Bing Xiang | Xiaodan Zhu | Yuqing Gao
Proceedings of the ACL-08: HLT Second Workshop on Syntax and Structure in Statistical Translation (SSST-2)

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Accurate and Robust LFG-Based Generation for Chinese
Yuqing Guo | Haifeng Wang | Josef van Genabith
Proceedings of the Fifth International Natural Language Generation Conference

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Phrase Table Training for Precision and Recall: What Makes a Good Phrase and a Good Phrase Pair?
Yonggang Deng | Jia Xu | Yuqing Gao
Proceedings of ACL-08: HLT

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Dependency-Based N-Gram Models for General Purpose Sentence Realisation
Yuqing Guo | Josef van Genabith | Haifeng Wang
Proceedings of the 22nd International Conference on Computational Linguistics (Coling 2008)

2007

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Domain dependent statistical machine translation
Jia Xu | Yonggang Deng | Yuqing Gao | Hermann Ney
Proceedings of Machine Translation Summit XI: Papers

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Recovering Non-Local Dependencies for Chinese
Yuqing Guo | Haifeng Wang | Josef van Genabith
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

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Guiding Statistical Word Alignment Models With Prior Knowledge
Yonggang Deng | Yuqing Gao
Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics

2006

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IBM MASTOR SYSTEM: Multilingual Automatic Speech-to-Speech Translator
Yuqing Gao | Bowen Zhou | Ruhi Sarikaya | Mohamed Afify | Hong-Kwang Kuo | Wei-zhong Zhu | Yonggang Deng | Charles Prosser | Wei Zhang | Laurent Besacier
Proceedings of the First International Workshop on Medical Speech Translation

2004

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On feature selection in maximum entropy approach to statistical concept-based speech-to-speech translation
Liang Gu | Yuqing Gao
Proceedings of the First International Workshop on Spoken Language Translation: Papers

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A Comparison of Rule–Based and Statistical Methods for Semantic Language Modeling and Confidence Measurement
Ruhi Srikaya | Yuqing Gao | Michael Picheny
Proceedings of HLT-NAACL 2004: Short Papers