Search Results for author: Hong Yu

Found 47 papers, 11 papers with code

Improving Formality Style Transfer with Context-Aware Rule Injection

no code implementations ACL 2021 Zonghai Yao, Hong Yu

Models pre-trained on large-scale regular text corpora often do not work well for user-generated data where the language styles differ significantly from the mainstream text.

Sentiment Analysis Style Transfer

CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues

1 code implementation NAACL 2021 Bo-Hsiang Tseng, Shruti Bhargava, Jiarui Lu, Joel Ruben Antony Moniz, Dhivya Piraviperumal, Lin Li, Hong Yu

In this work, we propose a novel joint learning framework of modeling coreference resolution and query rewriting for complex, multi-turn dialogue understanding.

Coreference Resolution Dialogue Understanding

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

1 code implementation15 Apr 2021 Qixuan Sun, Yaqi Yin, Hong Yu

Existing work follows a two-stage pipeline which identifies emotions and causes at the first step and pairs them at the second step.

Emotion Cause Extraction Emotion Cause Pair Extraction +2

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

1 code implementation7 Mar 2021 Wenxuan Wang, Chen Chen, Meng Ding, Jiangyun Li, Hong Yu, Sen Zha

To capture the local 3D context information, the encoder first utilizes 3D CNN to extract the volumetric spatial feature maps.

Brain Tumor Segmentation Image Classification +1

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

no code implementations14 Dec 2020 Yuxuan Zhang, Chen Gong, Dawei Li, Zhi-Wei Wang, Shengda D Pu, Alex W Robertson, Hong Yu, John Parrington

A reasonable prediction of infectious diseases transmission process under different disease control strategies is an important reference point for policy makers.

Dynamic Data Selection for Curriculum Learning via Ability Estimation

no code implementations Findings of the Association for Computational Linguistics 2020 John P. Lalor, Hong Yu

Curriculum learning methods typically rely on heuristics to estimate the difficulty of training examples or the ability of the model.

Curriculum Learning

Ontology-based annotation and analysis of COVID-19 phenotypes

no code implementations5 Aug 2020 Yang Wang, Fengwei Zhang, Hong Yu, Xianwei Ye, Yongqun He

The commonly occurring 17 phenotypes were classified into different groups based on the Human Phenotype Ontology (HPO).

BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab

no code implementations ACL 2020 Yonghao Jin, Fei Li, Hong Yu

In addition, the GUI interface enables researchers with limited computer background to compose tools into NLP pipelines and then apply the pipelines on their own datasets in a {``}what you see is what you get{''} (WYSIWYG) way.

Named Entity Recognition Tokenization

Conversational Machine Comprehension: a Literature Review

no code implementations COLING 2020 Somil Gupta, Bhanu Pratap Singh Rawat, Hong Yu

Conversational Machine Comprehension (CMC), a research track in conversational AI, expects the machine to understand an open-domain natural language text and thereafter engage in a multi-turn conversation to answer questions related to the text.

Language understanding Machine Reading Comprehension +2

Neural Data-to-Text Generation with Dynamic Content Planning

no code implementations16 Apr 2020 Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu

We further design a reconstruction mechanism with a novel objective function that can reconstruct the whole entry of the used data sequentially from the hidden states of the decoder, which aids the accuracy of the generated text.

Data-to-Text Generation

Calibrating Structured Output Predictors for Natural Language Processing

no code implementations ACL 2020 Abhyuday Jagannatha, Hong Yu

Additionally, we show that our calibration method can also be used as an uncertainty-aware, entity-specific decoding step to improve the performance of the underlying model at no additional training cost or data requirements.

Named Entity Recognition Question Answering +1

Continual Domain-Tuning for Pretrained Language Models

no code implementations5 Apr 2020 Subendhu Rongali, Abhyuday Jagannatha, Bhanu Pratap Singh Rawat, Hong Yu

Pre-trained language models (LM) such as BERT, DistilBERT, and RoBERTa can be tuned for different domains (domain-tuning) by continuing the pre-training phase on a new target domain corpus.

Continual Learning

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

1 code implementation25 Nov 2019 Fei Li, Hong Yu

The innovations of our model are two-folds: it utilizes a multi-filter convolutional layer to capture various text patterns with different lengths and a residual convolutional layer to enlarge the receptive field.

Medical Code Prediction

Bacteria Biotope Relation Extraction via Lexical Chains and Dependency Graphs

no code implementations WS 2019 Wuti Xiong, Fei Li, Ming Cheng, Hong Yu, Donghong Ji

abstract In this article, we describe our approach for the Bacteria Biotopes relation extraction (BB-rel) subtask in the BioNLP Shared Task 2019.

graph construction Relation Extraction

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

1 code implementation IJCNLP 2019 John P. Lalor, Hao Wu, Hong Yu

We demonstrate a use-case for latent difficulty item parameters, namely training set filtering, and show that using difficulty to sample training data outperforms baseline methods.

Natural Language Inference Sentiment Analysis

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

no code implementations29 Nov 2018 Yonghao Jin, Fei Li, Hong Yu

We used this annotated dataset to train and evaluate HYPE, supervised NLP systems for hypoglycemia detection.

Language Identification with Deep Bottleneck Features

no code implementations18 Sep 2018 Zhanyu Ma, Hong Yu

In order to improve the SLD accuracy of short utterances a phase vocoder based time-scale modification(TSM) method is used to reduce and increase speech rated of the test utterance.

Language Identification Transfer Learning

Histogram Transform-based Speaker Identification

no code implementations2 Aug 2018 Zhanyu Ma, Hong Yu

A novel text-independent speaker identification (SI) method is proposed.

Speaker Identification

Deep Neural Network for Analysis of DNA Methylation Data

no code implementations2 Aug 2018 Hong Yu, Zhanyu Ma

Many researches demonstrated that the DNA methylation, which occurs in the context of a CpG, has strong correlation with diseases, including cancer.

Sentence Simplification with Memory-Augmented Neural Networks

no code implementations NAACL 2018 Tu Vu, Baotian Hu, Tsendsuren Munkhdalai, Hong Yu

Sentence simplification aims to simplify the content and structure of complex sentences, and thus make them easier to interpret for human readers, and easier to process for downstream NLP applications.

Machine Translation Text Simplification +1

Meta Networks

no code implementations ICML 2017 Tsendsuren Munkhdalai, Hong Yu

Neural networks have been successfully applied in applications with a large amount of labeled data.

Continual Learning Meta-Learning

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

no code implementations1 Mar 2017 Jinying Chen, Hong Yu

Objective: The aim of this work was to develop FIT (Finding Important Terms for patients), an unsupervised natural language processing (NLP) system that ranks medical terms in EHR notes based on their importance to patients.

Document-level

Soft Label Memorization-Generalization for Natural Language Inference

no code implementations27 Feb 2017 John P. Lalor, Hao Wu, Hong Yu

Often when multiple labels are obtained for a training example it is assumed that there is an element of noise that must be accounted for.

Fine-tuning Natural Language Inference

DNN Filter Bank Cepstral Coefficients for Spoofing Detection

no code implementations13 Feb 2017 Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Jun Guo

In order to improve the reliability of speaker verification systems, we develop a new filter bank based cepstral feature, deep neural network filter bank cepstral coefficients (DNN-FBCC), to distinguish between natural and spoofed speech.

Speaker Verification Speech Synthesis

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

no code implementations14 Nov 2016 Jinying Chen, Abhyuday N. Jagannatha, Samah J. Jarad, Hong Yu

Methods: We developed an innovative adapted distant supervision (ADS) model based on support vector machines to rank medical jargon from EHRs.

Learning to Rank Scientific Documents from the Crowd

no code implementations4 Nov 2016 Jesse M Lingeman, Hong Yu

Finding related published articles is an important task in any science, but with the explosion of new work in the biomedical domain it has become especially challenging.

Document Ranking Learning-To-Rank

Neural Semantic Encoders

2 code implementations EACL 2017 Tsendsuren Munkhdalai, Hong Yu

We present a memory augmented neural network for natural language understanding: Neural Semantic Encoders.

General Classification Language understanding +7

Learning for Biomedical Information Extraction: Methodological Review of Recent Advances

no code implementations26 Jun 2016 Feifan Liu, Jinying Chen, Abhyuday Jagannatha, Hong Yu

Biomedical information extraction (BioIE) is important to many applications, including clinical decision support, integrative biology, and pharmacovigilance, and therefore it has been an active research.

Open Information Extraction

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

1 code implementation25 Jun 2016 Abhyuday Jagannatha, Hong Yu

Sequence labeling for extraction of medical events and their attributes from unstructured text in Electronic Health Record (EHR) notes is a key step towards semantic understanding of EHRs.

Event Detection

Building an Evaluation Scale using Item Response Theory

no code implementations EMNLP 2016 John P. Lalor, Hao Wu, Hong Yu

Evaluation of NLP methods requires testing against a previously vetted gold-standard test set and reporting standard metrics (accuracy/precision/recall/F1).

Natural Language Inference

Heuristic algorithms for finding distribution reducts in probabilistic rough set model

no code implementations22 Dec 2015 Xi'ao Ma, Guoyin Wang, Hong Yu

This is partly due to the fact that there are no monotonic fitness functions that are used to design heuristic attribute reduction algorithms in probabilistic rough set model.

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