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Supporting Clustering with Contrastive Learning


Mar 24, 2021
Dejiao Zhang, Feng Nan, Xiaokai Wei, Shangwen Li, Henghui Zhu, Kathleen McKeown, Ramesh Nallapati, Andrew Arnold, Bing Xiang

* NAACL 2021 

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Entity-level Factual Consistency of Abstractive Text Summarization


Feb 18, 2021
Feng Nan, Ramesh Nallapati, Zhiguo Wang, Cicero Nogueira dos Santos, Henghui Zhu, Dejiao Zhang, Kathleen McKeown, Bing Xiang

* EACL 2021 

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Structured Prediction as Translation between Augmented Natural Languages


Jan 28, 2021
Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cicero Nogueira dos Santos, Bing Xiang, Stefano Soatto


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Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training


Dec 18, 2020
Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cicero Nogueira dos Santos, Bing Xiang

* Accepted to AAAI 2021 

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Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction


Nov 26, 2020
Yifan Gao, Henghui Zhu, Patrick Ng, Cicero Nogueira dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold, Bing Xiang


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End-to-End Synthetic Data Generation for Domain Adaptation of Question Answering Systems


Oct 12, 2020
Siamak Shakeri, Cicero Nogueira dos Santos, Henry Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

* EMNLP 2020 

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Beyond [CLS] through Ranking by Generation


Oct 06, 2020
Cicero Nogueira dos Santos, Xiaofei Ma, Ramesh Nallapati, Zhiheng Huang, Bing Xiang

* EMNLP 2020 

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Improve Transformer Models with Better Relative Position Embeddings


Sep 28, 2020
Zhiheng Huang, Davis Liang, Peng Xu, Bing Xiang

* Accepted as Findings of EMNLP 2020 

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Augmented Natural Language for Generative Sequence Labeling


Sep 15, 2020
Ben Athiwaratkun, Cicero Nogueira dos Santos, Jason Krone, Bing Xiang

* To appear at EMNLP 2020 

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Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering


Apr 24, 2020
Alexander R. Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

* ACL 2020 

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TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding


Mar 16, 2020
Zhiheng Huang, Peng Xu, Davis Liang, Ajay Mishra, Bing Xiang


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Who did They Respond to? Conversation Structure Modeling using Masked Hierarchical Transformer


Nov 25, 2019
Henghui Zhu, Feng Nan, Zhiguo Wang, Ramesh Nallapati, Bing Xiang

* AAAI 2020 

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Universal Text Representation from BERT: An Empirical Study


Oct 23, 2019
Xiaofei Ma, Zhiguo Wang, Patrick Ng, Ramesh Nallapati, Bing Xiang


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Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering


Oct 02, 2019
Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, Bing Xiang

* To appear in EMNLP 2019 

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Topic Modeling with Wasserstein Autoencoders


Jul 24, 2019
Feng Nan, Ran Ding, Ramesh Nallapati, Bing Xiang

* to appear at ACL 2019 

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Passage Ranking with Weak Supervision


Jun 04, 2019
Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang

* ICLR 2019 LLD workshop 
* 6 pages, 1 figure 

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Passage Ranking with Weak Supervsion


May 15, 2019
Peng Xu, Xiaofei Ma, Ramesh Nallapati, Bing Xiang

* ICLR 2019 LLD workshop 
* 6 pages, 1 figure 

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WeNet: Weighted Networks for Recurrent Network Architecture Search


Apr 08, 2019
Zhiheng Huang, Bing Xiang


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OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations


Mar 20, 2019
Pramuditha Perera, Ramesh Nallapati, Bing Xiang

* CVPR 2019 Accepted Paper 

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Coherence-Aware Neural Topic Modeling


Sep 07, 2018
Ran Ding, Ramesh Nallapati, Bing Xiang

* Accepted at EMNLP 2018 

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ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs


Jun 25, 2018
Wenpeng Yin, Hinrich Schütze, Bing Xiang, Bowen Zhou

* TACL Camera-ready 

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Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering


May 13, 2018
Rui Zhang, Cicero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir Radev

* ACL2018 

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Group Sparse CNNs for Question Classification with Answer Sets


Oct 07, 2017
Mingbo Ma, Liang Huang, Bing Xiang, Bowen Zhou

* 6, ACL 2017 

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GaDei: On Scale-up Training As A Service For Deep Learning


Oct 03, 2017
Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang


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Jointly Trained Sequential Labeling and Classification by Sparse Attention Neural Networks


Sep 28, 2017
Mingbo Ma, Kai Zhao, Liang Huang, Bing Xiang, Bowen Zhou

* interspeech 2017 

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Improved Neural Relation Detection for Knowledge Base Question Answering


May 27, 2017
Mo Yu, Wenpeng Yin, Kazi Saidul Hasan, Cicero dos Santos, Bing Xiang, Bowen Zhou

* Accepted by ACL 2017 (updated for camera-ready) 

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A Structured Self-attentive Sentence Embedding


Mar 09, 2017
Zhouhan Lin, Minwei Feng, Cicero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio

* 15 pages with appendix, 7 figures, 4 tables. Conference paper in 5th International Conference on Learning Representations (ICLR 2017) 

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