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Dynamic Data Selection for Curriculum Learning via Ability Estimation

Oct 30, 2020
John P. Lalor, Hong Yu

* Findings of EMNLP 2020, presented at CoNLL 2020 

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Conversational Semantic Parsing for Dialog State Tracking

Oct 24, 2020
Jianpeng Cheng, Devang Agrawal, Hector Martinez Alonso, Shruti Bhargava, Joris Driesen, Federico Flego, Dain Kaplan, Dimitri Kartsaklis, Lin Li, Dhivya Piraviperumal, Jason D Williams, Hong Yu, Diarmuid O Seaghdha, Anders Johannsen

* Publish as a conference paper at EMNLP 2020 

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Calibrating Structured Output Predictors for Natural Language Processing

May 05, 2020
Abhyuday Jagannatha, Hong Yu

* ACL 2020; 9 pages + 4 page appendix 

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Neural Data-to-Text Generation with Dynamic Content Planning

Apr 20, 2020
Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu

* 25 pages, 1 figure and 6 tables 

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Improved Pretraining for Domain-specific Contextual Embedding Models

Apr 05, 2020
Subendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu


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MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation

Dec 11, 2019
Rumeng Li, Xun Wang, Hong Yu


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ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

Nov 25, 2019
Fei Li, Hong Yu


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Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network

Oct 12, 2019
Hong Yu, Xiaofan Zhang, Lingjun Song, Liren Jiang, Xiaodi Huang, Wen Chen, Chenbin Zhang, Jiahui Li, Jiji Yang, Zhiqiang Hu, Qi Duan, Wanyuan Chen, Xianglei He, Jinshuang Fan, Weihai Jiang, Li Zhang, Chengmin Qiu, Minmin Gu, Weiwei Sun, Yangqiong Zhang, Guangyin Peng, Weiwei Shen, Guohui Fu

* under major revision 

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Generating Classical Chinese Poems from Vernacular Chinese

Aug 31, 2019
Zhichao Yang, Pengshan Cai, Yansong Feng, Fei Li, Weijiang Feng, Elena Suet-Ying Chiu, Hong Yu

* Published in EMNLP 2019 

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Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds

Aug 29, 2019
John P. Lalor, Hao Wu, Hong Yu

* EMNLP 2019 

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HYPE: A High Performing NLP System for Automatically Detecting Hypoglycemia Events from Electronic Health Record Notes

Nov 29, 2018
Yonghao Jin, Fei Li, Hong Yu

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Language Identification with Deep Bottleneck Features

Sep 18, 2018
Zhanyu Ma, Hong Yu

* Preliminary work report 

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Understanding Deep Learning Performance through an Examination of Test Set Difficulty: A Psychometric Case Study

Sep 07, 2018
John P. Lalor, Hao Wu, Tsendsuren Munkhdalai, Hong Yu

* EMNLP 2018 

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Deep Neural Network for Analysis of DNA Methylation Data

Aug 02, 2018
Hong Yu, Zhanyu Ma

* Techinical Report 

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Histogram Transform-based Speaker Identification

Aug 02, 2018
Zhanyu Ma, Hong Yu

* Technical Report 

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Sentence Simplification with Memory-Augmented Neural Networks

Apr 20, 2018
Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu

* Accepted as a conference paper at NAACL HLT 2018 

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CIFT: Crowd-Informed Fine-Tuning to Improve Machine Learning Ability

Jun 28, 2017
John P. Lalor, Hao Wu, Hong Yu

* 8 pages plus references, 3 tables, 2 figures 

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Meta Networks

Jun 08, 2017
Tsendsuren Munkhdalai, Hong Yu

* Accepted at ICML 2017 - rewrote: the main section; added: MetaNet algorithmic procedure; performed: Mini-ImageNet evaluation 

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Unsupervised Ensemble Ranking of Terms in Electronic Health Record Notes Based on Their Importance to Patients

Mar 25, 2017
Jinying Chen, Hong Yu


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Neural Tree Indexers for Text Understanding

Feb 28, 2017
Tsendsuren Munkhdalai, Hong Yu

* Accepted at EACL 2017 

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Reasoning with Memory Augmented Neural Networks for Language Comprehension

Feb 28, 2017
Tsendsuren Munkhdalai, Hong Yu

* Accepted at ICLR 2017 

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DNN Filter Bank Cepstral Coefficients for Spoofing Detection

Feb 13, 2017
Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo


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Neural Semantic Encoders

Jan 05, 2017
Tsendsuren Munkhdalai, Hong Yu

* Accepted in EACL 2017, added: comparison with NTM, qualitative analysis and memory visualization 

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Ranking medical jargon in electronic health record notes by adapted distant supervision

Nov 14, 2016
Jinying Chen, Abhyuday N. Jagannatha, Samah J. Jarad, Hong Yu


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Learning to Rank Scientific Documents from the Crowd

Nov 04, 2016
Jesse M Lingeman, Hong Yu

* 12 pages, 1 figure 

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Building an Evaluation Scale using Item Response Theory

Sep 23, 2016
John P. Lalor, Hao Wu, Hong Yu

* To appear in the proceedings of EMNLP 2016 

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Structured prediction models for RNN based sequence labeling in clinical text

Aug 01, 2016
Abhyuday Jagannatha, Hong Yu

* To appear in the proceedings of EMNLP 2016 

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