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20212026
most citedThe Semantic Scholar Open Data Platform

59 citations · 102 across the 21 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.CL2021

A Search Engine for Discovery of Scientific Challenges and Directions

Dan Lahav, Jon Saad Falcon, Bailey Kuehl +8

Keeping track of scientific challenges, advances and emerging directions is a fundamental part of research. However, researchers face a flood of papers that hinders discovery of im…

cs.CL2021★ 3 cited

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting

Anne Lauscher, Brandon Ko, Bailey Kuehl +4

Citation context analysis (CCA) is an important task in natural language processing that studies how and why scholars discuss each others' work. Despite decades of study, tradition…

cs.CL2021

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups

Zejiang Shen, Kyle Lo, Lucy Lu Wang +3

Accurately extracting structured content from PDFs is a critical first step for NLP over scientific papers. Recent work has improved extraction accuracy by incorporating elementary…

cs.DL2021★ 9 cited

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users

Lucy Lu Wang, Isabel Cachola, Jonathan Bragg +7

The majority of scientific papers are distributed in PDF, which pose challenges for accessibility, especially for blind and low vision (BLV) readers. We characterize the scope of t…

cs.CL2021★ 8 cited

MS2: Multi-Document Summarization of Medical Studies

Jay DeYoung, Iz Beltagy, Madeleine van Zuylen +2

To assess the effectiveness of any medical intervention, researchers must conduct a time-intensive and highly manual literature review. NLP systems can help to automate or assist i…