activity
20182022
most citedAgreeSum: Agreement-Oriented Multi-Document Summarization

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20221 cited

Instability in clinical risk stratification models using deep learning

Daniel Lopez-Martinez, Alex Yakubovich, Martin Seneviratne +9

While it has been well known in the ML community that deep learning models suffer from instability, the consequences for healthcare deployments are under characterised. We study th…

cs.CL2022

All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass

Jiaxin Huang, Tianqi Liu, Jialu Liu +3

Multi-Task Learning (MTL) models have shown their robustness, effectiveness, and efficiency for transferring learned knowledge across tasks. In real industrial applications such as…

cs.CL20211 cited

AgreeSum: Agreement-Oriented Multi-Document Summarization

Richard Yuanzhe Pang, Adam D. Lelkes, Vinh Q. Tran +1

We aim to renew interest in a particular multi-document summarization (MDS) task which we call AgreeSum: agreement-oriented multi-document summarization. Given a cluster of article…

cs.CL2021

Quiz-Style Question Generation for News Stories

Adam D. Lelkes, Vinh Q. Tran, Cong Yu

A large majority of American adults get at least some of their news from the Internet. Even though many online news products have the goal of informing their users about the news,…

cs.IR2018

Investigating Rumor News Using Agreement-Aware Search

Jingbo Shang, Tianhang Sun, Jiaming Shen +6

Recent years have witnessed a widespread increase of rumor news generated by humans and machines. Therefore, tools for investigating rumor news have become an urgent necessity. One…