Hong Duan


2016

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Variational Neural Discourse Relation Recognizer
Biao Zhang | Deyi Xiong | Jinsong Su | Qun Liu | Rongrong Ji | Hong Duan | Min Zhang
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

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Variational Neural Machine Translation
Biao Zhang | Deyi Xiong | Jinsong Su | Hong Duan | Min Zhang
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

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Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences
Biao Zhang | Deyi Xiong | Jinsong Su | Hong Duan | Min Zhang
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

Parallel sentence representations are important for bilingual and cross-lingual tasks in natural language processing. In this paper, we explore a bilingual autoencoder approach to model parallel sentences. We extract sentence-level global descriptors (e.g. min, max) from word embeddings, and construct two monolingual autoencoders over these descriptors on the source and target language. In order to tightly connect the two autoencoders with bilingual correspondences, we force them to share the same decoding parameters and minimize a corpus-level semantic distance between the two languages. Being optimized towards a joint objective function of reconstruction and semantic errors, our bilingual antoencoder is able to learn continuous-valued latent representations for parallel sentences. Experiments on both intrinsic and extrinsic evaluations on statistical machine translation tasks show that our autoencoder achieves substantial improvements over the baselines.

2015

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Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition
Biao Zhang | Jinsong Su | Deyi Xiong | Yaojie Lu | Hong Duan | Junfeng Yao
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing