Shaoxiong Ji | DeepAI

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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...

0 Pinzhen Chen, et al. ∙

∙ 09/12/2023

Content Reduction, Surprisal and Information Density Estimation for Long Documents

Many computational linguistic methods have been proposed to study the in...

0 Shaoxiong Ji, et al. ∙

∙ 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 ...

0 Kailai Yang, et al. ∙

∙ 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...

0 Shaoxiong Ji, et al. ∙

∙ 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...

2 Tianlin Zhang, et al. ∙

∙ 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...

0 Kailai Yang, et al. ∙

∙ 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...

26 Shaoxiong Ji, et al. ∙

∙ 08/25/2022

Cross-Modality Gated Attention Fusion for Multimodal Sentiment Analysis

Multimodal sentiment analysis is an important research task to predict t...

0 Ming Jiang, et al. ∙

∙ 03/21/2022

Automated Clinical Coding: What, Why, and Where We Are?

Clinical coding is the task of transforming medical information in a pat...

13 Hang Dong, et al. ∙

∙ 01/08/2022

A Unified Review of Deep Learning for Automated Medical Coding

Automated medical coding, an essential task for healthcare operation and...

6 Shaoxiong Ji, et al. ∙

∙ 10/29/2021

MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare

Mental health is a critical issue in modern society, and mental disorder...

50 Shaoxiong Ji, et al. ∙

∙ 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...

0 Shaoxiong Ji, et al. ∙

∙ 09/06/2021

Multi-task Balanced and Recalibrated Network for Medical Code Prediction

Human coders assign standardized medical codes to clinical documents gen...

14 Wei Sun, et al. ∙

∙ 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 ...

17 Bruce Nguyen, et al. ∙

∙ 04/02/2021

Multitask Recalibrated Aggregation Network for Medical Code Prediction

Medical coding translates professionally written medical reports into st...

25 Wei Sun, et al. ∙

∙ 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...

27 Shaoxiong Ji, et al. ∙

∙ 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...

17 Shaoxiong Ji, et al. ∙

∙ 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...

12 Shaoxiong Ji, et al. ∙

∙ 09/30/2020

Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text

Medical code assignment, which predicts medical codes from clinical text...

0 Shaoxiong Ji, et al. ∙

∙ 05/31/2020

BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis

Sentiment analysis in conversations has gained increasing attention in r...

0 Wei Li, et al. ∙

∙ 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...

0 Shaoxiong Ji, et al. ∙

∙ 03/21/2020

Dynamic Sampling and Selective Masking for Communication-Efficient Federated Learning

Federated learning (FL) is a novel machine learning setting which enable...

0 Shaoxiong Ji, et al. ∙

∙ 02/02/2020

A Survey on Knowledge Graphs: Representation, Acquisition and Applications

Human knowledge provides a formal understanding of the world. Knowledge ...

13 Shaoxiong Ji, et al. ∙

∙ 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...

18 Shaoxiong Ji, et al. ∙

∙ 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...

0 Shaoxiong Ji, et al. ∙

∙ 12/17/2018

Learning Private Neural Language Modeling with Attentive Aggregation

Mobile keyboard suggestion is typically regarded as a word-level languag...

0 Shaoxiong Ji, et al. ∙

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