2 citations · 4 across the 4 of their papers we have counts for
4 papers
RTSUM: Relation Triple-based Interpretable Summarization with Multi-level Salience Visualization
Seonglae Cho, Yonggi Cho, HoonJae Lee +3
In this paper, we present RTSUM, an unsupervised summarization framework that utilizes relation triples as the basic unit for summarization. Given an input document, RTSUM first se…
Explaining Controversy on Social Media via Stance Summarization
Myungha Jang, James Allan
In an era in which new controversies rapidly emerge and evolve on social media, navigating social media platforms to learn about a new controversy can be an overwhelming task. In t…
Is Climate Change Controversial? Modeling Controversy as Contention Within Populations
Shiri Dori-Hacohen, Myungha Jang, James Allan
A growing body of research focuses on computationally detecting controversial topics and understanding the stances people hold on them. Yet gaps remain in our theoretical and pract…
Improving Document Clustering by Eliminating Unnatural Language
Myungha Jang, Jinho D. Choi, James Allan
Technical documents contain a fair amount of unnatural language, such as tables, formulas, pseudo-codes, etc. Unnatural language can be an important factor of confusing existing NL…