activity
20182022
most citedRanking Paragraphs for Improving Answer Recall in Open-Domain Question Answering

13 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2022

ClaimDiff: Comparing and Contrasting Claims on Contentious Issues

Miyoung Ko, Ingyu Seong, Hwaran Lee +3

With the growing importance of detecting misinformation, many studies have focused on verifying factual claims by retrieving evidence. However, canonical fact verification tasks do…

cs.CL2020★ 7 cited

Answering Questions on COVID-19 in Real-Time

Jinhyuk Lee, Sean S. Yi, Minbyul Jeong +5

The recent outbreak of the novel coronavirus is wreaking havoc on the world and researchers are struggling to effectively combat it. One reason why the fight is difficult is due to…

cs.CL2020★ 3 cited

Look at the First Sentence: Position Bias in Question Answering

Miyoung Ko, Jinhyuk Lee, Hyunjae Kim +2

Many extractive question answering models are trained to predict start and end positions of answers. The choice of predicting answers as positions is mainly due to its simplicity a…

cs.IR2019★ 10 cited

SAIN: Self-Attentive Integration Network for Recommendation

Seoungjun Yun, Raehyun Kim, Miyoung Ko +1

With the growing importance of personalized recommendation, numerous recommendation models have been proposed recently. Among them, Matrix Factorization (MF) based models are the m…

cs.CL2018★ 13 cited

Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering

Jinhyuk Lee, Seongjun Yun, Hyunjae Kim +2

Recently, open-domain question answering (QA) has been combined with machine comprehension models to find answers in a large knowledge source. As open-domain QA requires retrieving…