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19952024
most citedCORD-19: The COVID-19 Open Research Dataset

584 citations · 1.3k across the 49 of their papers we have counts for

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5 papers · 1 filter

cs.IR2022★ 24 cited

From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks

Hyeonsu B. Kang, Rafal Kocielnik, Andrew Head +6

The ever-increasing pace of scientific publication necessitates methods for quickly identifying relevant papers. While neural recommenders trained on user interests can help, they…

cs.IR2020★ 6 cited

High-Precision Extraction of Emerging Concepts from Scientific Literature

Daniel King, Doug Downey, Daniel S. Weld

Identification of new concepts in scientific literature can help power faceted search, scientific trend analysis, knowledge-base construction, and more, but current methods are lac…

cs.IR2020★ 7 cited

The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America

Benjamin Charles Germain Lee, Jaime Mears, Eileen Jakeway +6

Chronicling America is a product of the National Digital Newspaper Program, a partnership between the Library of Congress and the National Endowment for the Humanities to digitize…

cs.IR2020★ 2 cited

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…

cs.IR2020

LIMEADE: From AI Explanations to Advice Taking

Benjamin Charles Germain Lee, Doug Downey, Kyle Lo +1

Research in human-centered AI has shown the benefits of systems that can explain their predictions. Methods that allow an AI to take advice from humans in response to explanations…