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20122022
most citedNewsEmbed: Modeling News through Pre-trained Document Representations

15 citations · 19 across the 5 of their papers we have counts for

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6 papers · 1 filter

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.CL2021

ReasonBERT: Pre-trained to Reason with Distant Supervision

Xiang Deng, Yu Su, Alyssa Lees +3

We present ReasonBert, a pre-training method that augments language models with the ability to reason over long-range relations and multiple, possibly hybrid contexts. Unlike exist…

cs.CL202115 cited

NewsEmbed: Modeling News through Pre-trained Document Representations

Jialu Liu, Tianqi Liu, Cong Yu

Effectively modeling text-rich fresh content such as news articles at document-level is a challenging problem. To ensure a content-based model generalize well to a broad range of a…

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.CL2020

Generating Representative Headlines for News Stories

Xiaotao Gu, Yuning Mao, Jiawei Han +7

Millions of news articles are published online every day, which can be overwhelming for readers to follow. Grouping articles that are reporting the same event into news stories is…