activity
20182022
most citedExtracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context

9 citations · 12 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CL2022

Multi-label Few-shot ICD Coding as Autoregressive Generation with Prompt

Zhichao Yang, Sunjae Kwon, Zonghai Yao +1

Automatic International Classification of Diseases (ICD) coding aims to assign multiple ICD codes to a medical note with an average of 3,000+ tokens. This task is challenging due t…

cs.CL20223 cited

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…

cs.IR20229 cited

Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context

Zonghai Yao, Yi Cao, Zhichao Yang +2

Language Models (LMs) have performed well on biomedical natural language processing applications. In this study, we conducted some experiments to use prompt methods to extract know…

cs.CL2022

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…

cs.CL2019

Generating Classical Chinese Poems from Vernacular Chinese

Zhichao Yang, Pengshan Cai, Yansong Feng +4

Classical Chinese poetry is a jewel in the treasure house of Chinese culture. Previous poem generation models only allow users to employ keywords to interfere the meaning of genera…

cs.CL2018

Word Embedding Perturbation for Sentence Classification

Dongxu Zhang, Zhichao Yang

In this technique report, we aim to mitigate the overfitting problem of natural language by applying data augmentation methods. Specifically, we attempt several types of noise to p…