385 citations · 645 across the 22 of their papers we have counts for
23 papers
Give Text A Chance: Advocating for Equal Consideration for Language and Visualization
Chase Stokes, Marti A. Hearst
Visualization research tends to de-emphasize consideration of the textual context in which its images are placed. We argue that visualization research should consider textual repre…
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs
Philippe Laban, Jesse Vig, Marti A. Hearst +2
Conversational interfaces powered by Large Language Models (LLMs) have recently become a popular way to obtain feedback during document editing. However, standard chat-based conver…
Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction
Anna Martin-Boyle, Andrew Head, Kyle Lo +3
Mathematical symbol definition extraction is important for improving scholarly reading interfaces and scholarly information extraction (IE). However, the task poses several challen…
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces
Kyle Lo, Joseph Chee Chang, Andrew Head +52
Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature…
Pragmatically Appropriate Diversity for Dialogue Evaluation
Katherine Stasaski, Marti A. Hearst
Linguistic pragmatics state that a conversation's underlying speech acts can constrain the type of response which is appropriate at each turn in the conversation. When generating d…
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…
Scim: Intelligent Skimming Support for Scientific Papers
Raymond Fok, Hita Kambhamettu, Luca Soldaini +5
Researchers need to keep up with immense literatures, though it is time-consuming and difficult to do so. In this paper, we investigate the role that intelligent interfaces can pla…
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…
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban, Tobias Schnabel, Paul N. Bennett +1
In the summarization domain, a key requirement for summaries is to be factually consistent with the input document. Previous work has found that natural language inference (NLI) mo…
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…
What's The Latest? A Question-driven News Chatbot
Philippe Laban, John Canny, Marti A. Hearst
This work describes an automatic news chatbot that draws content from a diverse set of news articles and creates conversations with a user about the news. Key components of the sys…
News Headline Grouping as a Challenging NLU Task
Philippe Laban, Lucas Bandarkar, Marti A. Hearst
Recent progress in Natural Language Understanding (NLU) has seen the latest models outperform human performance on many standard tasks. These impressive results have led the commun…
The Summary Loop: Learning to Write Abstractive Summaries Without Examples
Philippe Laban, Andrew Hsi, John Canny +1
This work presents a new approach to unsupervised abstractive summarization based on maximizing a combination of coverage and fluency for a given length constraint. It introduces a…
Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows
Doris Jung-Lin Lee, Dixin Tang, Kunal Agarwal +8
Exploratory data science largely happens in computational notebooks with dataframe APIs, such as pandas, that support flexible means to transform, clean, and analyze data. Yet, vis…
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions
Dongyeop Kang, Andrew Head, Risham Sidhu +3
The task of definition detection is important for scholarly papers, because papers often make use of technical terminology that may be unfamiliar to readers. Despite prior work on…
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols
Andrew Head, Kyle Lo, Dongyeop Kang +4
Despite the central importance of research papers to scientific progress, they can be difficult to read. Comprehension is often stymied when the information needed to understand a…
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search
Tom Hope, Jason Portenoy, Kishore Vasan +5
The COVID-19 pandemic has sparked unprecedented mobilization of scientists, generating a deluge of papers that makes it hard for researchers to keep track and explore new direction…
Detecting Figures and Part Labels in Patents: Competition-Based Development of Image Processing Algorithms
Christoph Riedl, Richard Zanibbi, Marti A. Hearst +5
We report the findings of a month-long online competition in which participants developed algorithms for augmenting the digital version of patent documents published by the United…
Adaptive Sentence Boundary Disambiguation
David D. Palmer, Marti A. Hearst
Labeling of sentence boundaries is a necessary prerequisite for many natural language processing tasks, including part-of-speech tagging and sentence alignment. End-of-sentence pun…
Multi-Paragraph Segmentation of Expository Text
Marti A. Hearst
This paper describes TextTiling, an algorithm for partitioning expository texts into coherent multi-paragraph discourse units which reflect the subtopic structure of the texts. The…