66 citations · 112 across the 7 of their papers we have counts for
11 papers
Why More Text is (Often) Better: Themes from Reader Preferences for Integration of Charts and Text
Chase Stokes, Marti Hearst
Given a choice between charts with minimal text and those with copious textual annotations, participants in a study (Stokes et al.) tended to prefer the charts with more text. This…
Striking a Balance: Reader Takeaways and Preferences when Integrating Text and Charts
Chase Stokes, Vidya Setlur, Bridget Cogley +2
While visualizations are an effective way to represent insights about information, they rarely stand alone. When designing a visualization, text is often added to provide additiona…
Semantic Diversity in Dialogue with Natural Language Inference
Katherine Stasaski, Marti A. Hearst
Generating diverse, interesting responses to chitchat conversations is a problem for neural conversational agents. This paper makes two substantial contributions to improving diver…
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing
Tal August, Lucy Lu Wang, Jonathan Bragg +3
When seeking information not covered in patient-friendly documents, like medical pamphlets, healthcare consumers may turn to the research literature. Reading medical papers, howeve…
NewsPod: Automatic and Interactive News Podcasts
Philippe Laban, Elicia Ye, Srujay Korlakunta +2
News podcasts are a popular medium to stay informed and dive deep into news topics. Today, most podcasts are handcrafted by professionals. In this work, we advance the state-of-the…
Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text
Philippe Laban, Tobias Schnabel, Paul Bennett +1
This work presents Keep it Simple (KiS), a new approach to unsupervised text simplification which learns to balance a reward across three properties: fluency, salience and simplici…