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

8 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20233 cited

Personalized Jargon Identification for Enhanced Interdisciplinary Communication

Yue Guo, Joseph Chee Chang, Maria Antoniak +4

Scientific jargon can impede researchers when they read materials from other domains. Current methods of jargon identification mainly use corpus-level familiarity indicators (e.g.,…

cs.DL20235 cited

The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices

Hancheng Cao, Jesse Dodge, Kyle Lo +2

In recent years, funding agencies and journals increasingly advocate for open science practices (e.g. data and method sharing) to improve the transparency, access, and reproducibil…

cs.CL20233 cited

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations

Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung +4

Evaluating multi-document summarization (MDS) quality is difficult. This is especially true in the case of MDS for biomedical literature reviews, where models must synthesize contr…

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.CL20211 cited

MultiVerS: Improving scientific claim verification with weak supervision and full-document context

David Wadden, Kyle Lo, Lucy Lu Wang +3

The scientific claim verification task requires an NLP system to label scientific documents which Support or Refute an input claim, and to select evidentiary sentences (or rational…