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08/07/2023
PaniniQA: Enhancing Patient Education Through Interactive Question Answering
Patient portal allows discharged patients to access their personalized d...
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07/26/2023
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Advances in large language models (LLMs) have empowered a variety of app...
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07/23/2023
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans
Early prediction of Alzheimer's disease (AD) is crucial for timely inter...
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07/05/2023
ODD: A Benchmark Dataset for the NLP-based Opioid Related Aberrant Behavior Detection
Opioid related aberrant behaviors (ORAB) present novel risk factors for ...
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06/29/2023
UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?
This paper presents UMASS_BioNLP team participation in the MEDIQA-Chat 2...
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06/10/2023
Referring to Screen Texts with Voice Assistants
Voice assistants help users make phone calls, send messages, create even...
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05/20/2023
Revisiting the Architectures like Pointer Networks to Efficiently Improve the Next Word Distribution, Summarization Factuality, and Beyond
Is the output softmax layer, which is adopted by most language models (L...
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05/02/2023
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information
Visual Word Sense Disambiguation (VWSD) is a task to find the image that...
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12/22/2022
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models
Question: Can an encoder-decoder architecture pretrained on a large data...
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12/11/2022
Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans
Importance: Social determinants of health (SDOH) are known to be associa...
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12/06/2022
Automated Identification of Eviction Status from Electronic Health Record Notes
Objective: Evictions are involved in a cascade of negative events that c...
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11/26/2022
An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning
In this paper, we introduce a comprehensive framework for developing a m...
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11/24/2022
Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt
Automatic International Classification of Diseases (ICD) coding aims to ...
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11/18/2022
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing
Pretrained language models (PLMs) have motivated research on what kinds ...
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10/12/2022
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score
This paper proposes a new natural language processing (NLP) application ...
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10/07/2022
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
Automatic International Classification of Diseases (ICD) coding aims to ...
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08/26/2022
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context
Language Models (LMs) have performed well on biomedical natural language...
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07/26/2022
Advanced Conditional Variational Autoencoders (A-CVAE): Towards interpreting open-domain conversation generation via disentangling latent feature representation
Currently end-to-end deep learning based open-domain dialogue systems re...
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05/29/2022
Learning as Conversation: Dialogue Systems Reinforced for Information Acquisition
We propose novel AI-empowered chat bots for learning as conversation whe...
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05/12/2022
ScAN: Suicide Attempt and Ideation Events Dataset
Suicide is an important public health concern and one of the leading cau...
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04/18/2022
Caption Feature Space Regularization for Audio Captioning
Audio captioning aims at describing the content of audio clips with huma...
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06/01/2021
Improving Formality Style Transfer with Context-Aware Rule Injection
Models pre-trained on large-scale regular text corpora often do not work...
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05/20/2021
CREAD: Combined Resolution of Ellipses and Anaphora in Dialogues
Anaphora and ellipses are two common phenomena in dialogues. Without res...
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04/16/2021
Membership Inference Attack Susceptibility of Clinical Language Models
Deep Neural Network (DNN) models have been shown to have high empirical ...
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04/15/2021
A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness
Emotion-cause pair extraction (ECPE), an emerging task in sentiment anal...
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12/14/2020
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...
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10/30/2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation
Curriculum learning methods typically rely on heuristics to estimate the...
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10/24/2020
Conversational Semantic Parsing for Dialog State Tracking
We consider a new perspective on dialog state tracking (DST), the task o...
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04/16/2020
Neural Data-to-Text Generation with Dynamic Content Planning
Neural data-to-text generation models have achieved significant advancem...
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04/09/2020
Calibrating Structured Output Predictors for Natural Language Processing
We address the problem of calibrating prediction confidence for output e...
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04/05/2020
Improved Pretraining for Domain-specific Contextual Embedding Models
We investigate methods to mitigate catastrophic forgetting during domain...
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12/11/2019
MetaMT,a MetaLearning Method Leveraging Multiple Domain Data for Low Resource Machine Translation
Manipulating training data leads to robust neural models for MT....
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11/25/2019
ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
Automated ICD coding, which assigns the International Classification of ...
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10/09/2019
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...
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08/31/2019
Generating Classical Chinese Poems from Vernacular Chinese
Classical Chinese poetry is a jewel in the treasure house of Chinese cul...
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08/29/2019
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
Incorporating Item Response Theory (IRT) into NLP tasks can provide valu...
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11/29/2018
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...
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09/18/2018
Language Identification with Deep Bottleneck Features
In this paper we proposed an end-to-end short utterances speech language...
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08/02/2018
Deep Neural Network for Analysis of DNA Methylation Data
Many researches demonstrated that the DNA methylation, which occurs in t...
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08/02/2018
Histogram Transform-based Speaker Identification
A novel text-independent speaker identification (SI) method is proposed....
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04/20/2018
Sentence Simplification with Memory-Augmented Neural Networks
Sentence simplification aims to simplify the content and structure of co...
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03/02/2017
Meta Networks
Neural networks have been successfully applied in applications with a la...
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03/01/2017
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...
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02/27/2017
CIFT: Crowd-Informed Fine-Tuning to Improve Machine Learning Ability
Item Response Theory (IRT) allows for measuring ability of Machine Learn...
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02/15/2017
An Analysis of Ability in Deep Neural Networks
Deep neural networks (DNNs) have made significant progress in a number o...
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11/14/2016
Ranking medical jargon in electronic health record notes by adapted distant supervision
Objective: Allowing patients to access their own electronic health recor...
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11/04/2016
Learning to Rank Scientific Documents from the Crowd
Finding related published articles is an important task in any science, ...
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10/20/2016
Reasoning with Memory Augmented Neural Networks for Language Comprehension
Hypothesis testing is an important cognitive process that supports human...
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08/01/2016
Structured prediction models for RNN based sequence labeling in clinical text
Sequence labeling is a widely used method for named entity recognition a...
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07/15/2016
