b'Hong Yu'

Improving Formality Style Transfer with Context-Aware Rule Injection

Models pre-trained on large-scale regular text corpora often do not work...
06/01/2021 ∙ by Zonghai Yao, et al. ∙ 0 ∙ share

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CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues

Anaphora and ellipses are two common phenomena in dialogues. Without res...
05/20/2021 ∙ by Bo-Hsiang Tseng, et al. ∙ 0 ∙ share

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Membership Inference Attack Susceptibility of Clinical Language Models

Deep Neural Network (DNN) models have been shown to have high empirical ...
04/16/2021 ∙ by Abhyuday Jagannatha, et al. ∙ 0 ∙ share

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A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness

Emotion-cause pair extraction (ECPE), an emerging task in sentiment anal...
04/15/2021 ∙ by Qixuan Sun, et al. ∙ 0 ∙ share

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A prognostic dynamic model applicable to infectious diseases providing easily visualized guides – A case study of COVID-19 in the UK

A reasonable prediction of infectious diseases transmission process unde...
12/14/2020 ∙ by Yuxuan Zhang, et al. ∙ 0 ∙ share

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Dynamic Data Selection for Curriculum Learning via Ability Estimation

Curriculum learning methods typically rely on heuristics to estimate the...
10/30/2020 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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Conversational Semantic Parsing for Dialog State Tracking

We consider a new perspective on dialog state tracking (DST), the task o...
10/24/2020 ∙ by Jianpeng Cheng, et al. ∙ 0 ∙ share

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Neural Data-to-Text Generation with Dynamic Content Planning

Neural data-to-text generation models have achieved significant advancem...
04/16/2020 ∙ by Kai Chen, et al. ∙ 0 ∙ share

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Calibrating Structured Output Predictors for Natural Language Processing

We address the problem of calibrating prediction confidence for output e...
04/09/2020 ∙ by Abhyuday Jagannatha, et al. ∙ 0 ∙ share

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Improved Pretraining for Domain-specific Contextual Embedding Models

We investigate methods to mitigate catastrophic forgetting during domain...
04/05/2020 ∙ by Subendhu Rongali, et al. ∙ 0 ∙ share

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

Manipulating training data leads to robust neural models for MT....
12/11/2019 ∙ by Rumeng Li, et al. ∙ 0 ∙ share

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

Automated ICD coding, which assigns the International Classification of ...
11/25/2019 ∙ by Fei Li, et al. ∙ 0 ∙ share

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

Gastric cancer is one of the most common cancers, which ranks third amon...
10/09/2019 ∙ by Hong Yu, et al. ∙ 31 ∙ share

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Generating Classical Chinese Poems from Vernacular Chinese

Classical Chinese poetry is a jewel in the treasure house of Chinese cul...
08/31/2019 ∙ by Zhichao Yang, et al. ∙ 5 ∙ share

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

Incorporating Item Response Theory (IRT) into NLP tasks can provide valu...
08/29/2019 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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

Hypoglycemia is common and potentially dangerous among those treated for...
11/29/2018 ∙ by Yonghao Jin, et al. ∙ 10 ∙ share

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Language Identification with Deep Bottleneck Features

In this paper we proposed an end-to-end short utterances speech language...
09/18/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Deep Neural Network for Analysis of DNA Methylation Data

Many researches demonstrated that the DNA methylation, which occurs in t...
08/02/2018 ∙ by Hong Yu, et al. ∙ 0 ∙ share

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Histogram Transform-based Speaker Identification

A novel text-independent speaker identification (SI) method is proposed....
08/02/2018 ∙ by Zhanyu Ma, et al. ∙ 0 ∙ share

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Sentence Simplification with Memory-Augmented Neural Networks

Sentence simplification aims to simplify the content and structure of co...
04/20/2018 ∙ by Tu Vu, et al. ∙ 0 ∙ share

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Meta Networks

Neural networks have been successfully applied in applications with a la...
03/02/2017 ∙ by Tsendsuren Munkhdalai, et al. ∙ 0 ∙ share

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

Background: Electronic health record (EHR) notes contain abundant medica...
03/01/2017 ∙ by Jinying Chen, et al. ∙ 0 ∙ share

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

Item Response Theory (IRT) allows for measuring ability of Machine Learn...
02/27/2017 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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An Analysis of Ability in Deep Neural Networks

Deep neural networks (DNNs) have made significant progress in a number o...
02/15/2017 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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

Objective: Allowing patients to access their own electronic health recor...
11/14/2016 ∙ by Jinying Chen, et al. ∙ 0 ∙ share

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Learning to Rank Scientific Documents from the Crowd

Finding related published articles is an important task in any science, ...
11/04/2016 ∙ by Jesse M Lingeman, et al. ∙ 0 ∙ share

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Reasoning with Memory Augmented Neural Networks for Language Comprehension

Hypothesis testing is an important cognitive process that supports human...
10/20/2016 ∙ by Tsendsuren Munkhdalai, et al. ∙ 0 ∙ share

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Structured prediction models for RNN based sequence labeling in clinical text

Sequence labeling is a widely used method for named entity recognition a...
08/01/2016 ∙ by Abhyuday Jagannatha, et al. ∙ 0 ∙ share

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Neural Tree Indexers for Text Understanding

Recurrent neural networks (RNNs) process input text sequentially and mod...
07/15/2016 ∙ by Tsendsuren Munkhdalai, et al. ∙ 0 ∙ share

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Neural Semantic Encoders

We present a memory augmented neural network for natural language unders...
07/14/2016 ∙ by Tsendsuren Munkhdalai, et al. ∙ 0 ∙ share

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Learning for Biomedical Information Extraction: Methodological Review of Recent Advances

Biomedical information extraction (BioIE) is important to many applicati...
06/26/2016 ∙ by Feifan Liu, et al. ∙ 0 ∙ share

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Bidirectional Recurrent Neural Networks for Medical Event Detection in Electronic Health Records

Sequence labeling for extraction of medical events and their attributes ...
06/25/2016 ∙ by Abhyuday Jagannatha, et al. ∙ 0 ∙ share

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Building an Evaluation Scale using Item Response Theory

Evaluation of NLP methods requires testing against a previously vetted g...
05/28/2016 ∙ by John P. Lalor, et al. ∙ 0 ∙ share

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Heuristic algorithms for finding distribution reducts in probabilistic rough set model

Attribute reduction is one of the most important topics in rough set the...
12/22/2015 ∙ by Xi'ao Ma, et al. ∙ 0 ∙ share

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Hong Yu

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