most citedTransformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering

6 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20201 cited

Competence-Level Prediction and Resume & Job Description Matching Using Context-Aware Transformer Models

Changmao Li, Elaine Fisher, Rebecca Thomas +3

This paper presents a comprehensive study on resume classification to reduce the time and labor needed to screen an overwhelming number of applications significantly, while improvi…

cs.CL20206 cited

Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering

Changmao Li, Jinho D. Choi

We introduce a novel approach to transformers that learns hierarchical representations in multiparty dialogue. First, three language modeling tasks are used to pre-train the transf…

cs.CL20205 cited

Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media

Xiangjue Dong, Changmao Li, Jinho D. Choi

We present a transformer-based sarcasm detection model that accounts for the context from the entire conversation thread for more robust predictions. Our model uses deep transforme…

cs.AI2019

Challenging On Car Racing Problem from OpenAI gym

Changmao Li

This project challenges the car racing problem from OpenAI gym environment. The problem is very challenging since it requires computer to finish the continuous control task by lear…

cs.LG20191 cited

Ten-year Survival Prediction for Breast Cancer Patients

Changmao Li, Han He, Yunze Hao +1

This report assesses different machine learning approaches to 10-year survival prediction of breast cancer patients.