3 citations · 7 across the 7 of their papers we have counts for
10 papers · 1 filter
An Automatic SOAP Classification System Using Weakly Supervision And Transfer Learning
Sunjae Kwon, Zhichao Yang, Hong Yu
In this paper, we introduce a comprehensive framework for developing a machine learning-based SOAP (Subjective, Objective, Assessment, and Plan) classification system without manua…
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding
Zhichao Yang, Shufan Wang, Bhanu Pratap Singh Rawat +2
Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD codes to a medical note with average length of 3,000+ tokens. This task is challenging d…
Improving Formality Style Transfer with Context-Aware Rule Injection
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. Here…
A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness
Qixuan Sun, Yaqi Yin, Hong Yu
Emotion-cause pair extraction (ECPE), an emerging task in sentiment analysis, aims at extracting pairs of emotions and their corresponding causes in documents. This is a more chall…
Dynamic Data Selection for Curriculum Learning via Ability Estimation
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. In this work, we propose replacing difficulty…
Calibrating Structured Output Predictors for Natural Language Processing
Abhyuday Jagannatha, Hong Yu
We address the problem of calibrating prediction confidence for output entities of interest in natural language processing (NLP) applications. It is important that NLP applications…