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09/16/2023
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Foundational large language models (LLMs) can be instruction-tuned to de...
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09/12/2023
Content Reduction, Surprisal and Information Density Estimation for Long Documents
Many computational linguistic methods have been proposed to study the in...
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08/09/2023
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge
The context-aware emotional reasoning ability of AI systems, especially ...
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04/20/2023
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health
Pretrained language models have been used in various natural language pr...
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04/19/2023
Emotion fusion for mental illness detection from social media: A survey
Mental illnesses are one of the most prevalent public health problems wo...
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04/06/2023
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis
Automated mental health analysis shows great potential for enhancing the...
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01/25/2023
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection
Adverse drug events (ADEs) are an important aspect of drug safety. Vario...
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08/25/2022
Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis
Multimodal sentiment analysis is an important research task to predict t...
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03/21/2022
Automated Clinical Coding: What, Why, and Where We Are?
Clinical coding is the task of transforming medical information in a pat...
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01/08/2022
A Unified Review of Deep Learning for Automated Medical Coding
Automated medical coding, an essential task for healthcare operation and...
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10/29/2021
MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare
Mental health is a critical issue in modern society, and mental disorder...
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09/07/2021
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning
Multitask deep learning has been applied to patient outcome prediction f...
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09/06/2021
Multi-task Balanced and Recalibrated Network for Medical Code Prediction
Human coders assign standardized medical codes to clinical documents gen...
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08/26/2021
Fine-tuning Pretrained Language Models with Label Attention for Explainable Biomedical Text Classification
The massive growth of digital biomedical data is making biomedical text ...
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04/02/2021
Multitask Recalibrated Aggregation Network for Medical Code Prediction
Medical coding translates professionally written medical reports into st...
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03/11/2021
Does the Magic of BERT Apply to Medical Code Assignment? A Quantitative Study
Unsupervised pretraining is an integral part of many natural language pr...
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02/25/2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
Federated learning is a new learning paradigm that decouples data collec...
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10/14/2020
Medical Code Assignment with Gated Convolution and Note-Code Interaction
Medical code assignment from clinical text is a fundamental task in clin...
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09/30/2020
Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text
Medical code assignment, which predicts medical codes from clinical text...
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05/31/2020
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
Sentiment analysis in conversations has gained increasing attention in r...
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04/16/2020
Suicidal Ideation and Mental Disorder Detection with Attentive Relation Networks
Mental health is a critical issue in the modern society, mental disorder...
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03/21/2020
Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning
Federated learning (FL) is a novel machine learning setting which enable...
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02/02/2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Human knowledge provides a formal understanding of the world. Knowledge ...
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10/23/2019
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications
Suicide is a critical issue in the modern society. Early detection and p...
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05/19/2019
Decentralized Learning with Average Difference Aggregation for Proactive Online Social Care
The Internet and the Web are being increasingly used in proactive social...
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12/17/2018
