most citedThe Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

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

collaborators

5 papers

cs.CL20232 cited

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…

cs.CL2023

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…

cs.HC20238 cited

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…

cs.CL20235 cited

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…

cs.CL2021

Can Transformer Models Measure Coherence In Text? Re-Thinking the Shuffle Test

Philippe Laban, Luke Dai, Lucas Bandarkar +1

The Shuffle Test is the most common task to evaluate whether NLP models can measure coherence in text. Most recent work uses direct supervision on the task; we show that by simply…