activity
20142023
most citedCORD-19: The COVID-19 Open Research Dataset

584 citations · 1.6k across the 14 of their papers we have counts for

collaborators

14 papers

cs.DL2023★ 59 cited

The Semantic Scholar Open Data Platform

Rodney Kinney, Chloe Anastasiades, Russell Authur +45

The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field. Semantic Scholar (S2) is an open data pl…

cs.CY2022★ 153 cited

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

Peter Stone, Rodney Brooks, Erik Brynjolfsson +14

In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial…

cs.CL2022★ 4 cited

A Computational Inflection for Scientific Discovery

Tom Hope, Doug Downey, Oren Etzioni +2

We stand at the foot of a significant inflection in the trajectory of scientific discovery. As society continues on its fast-paced digital transformation, so does humankind's colle…

math.AP2021

Asymptotic behavior of the free interface for entire vector minimizers in phase transitions

Nicholas D. Alikakos, Zhiyuan Geng, Arghir Zarnescu

We study globally bounded entire minimizers of Allen-Cahn systems for potentials with and $W(u)\sim |u-a…

cs.DL2020★ 584 cited

CORD-19: The COVID-19 Open Research Dataset

Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar +25

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate t…

cs.CL2019★ 24 cited

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project

Peter Clark, Oren Etzioni, Daniel Khashabi +11

AI has achieved remarkable mastery over games such as Chess, Go, and Poker, and even Jeopardy, but the rich variety of standardized exams has remained a landmark challenge. Even in…

cs.CY2019★ 78 cited

Green AI

Roy Schwartz, Jesse Dodge, Noah A. Smith +1

The computations required for deep learning research have been doubling every few months, resulting in an estimated 300,000x increase from 2012 to 2018 [2]. These computations have…

cs.DL2019★ 38 cited

Gender trends in computer science authorship

Lucy Lu Wang, Gabriel Stanovsky, Luca Weihs +1

A large-scale, up-to-date analysis of Computer Science literature (11.8M papers through 2019) reveals that, if trends from the last 50 years continue, parity between the number of…

cs.CL2018★ 47 cited

Construction of the Literature Graph in Semantic Scholar

Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula +20

We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery. The resulting…

cs.AI2018★ 485 cited

Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Peter Clark, Isaac Cowhey, Oren Etzioni +4

We present a new question set, text corpus, and baselines assembled to encourage AI research in advanced question answering. Together, these constitute the AI2 Reasoning Challenge…

cs.AI2016★ 82 cited

Question Answering via Integer Programming over Semi-Structured Knowledge

Daniel Khashabi, Tushar Khot, Ashish Sabharwal +3

Answering science questions posed in natural language is an important AI challenge. Answering such questions often requires non-trivial inference and knowledge that goes beyond fac…

cs.AI2016★ 6 cited

Moving Beyond the Turing Test with the Allen AI Science Challenge

Carissa Schoenick, Peter Clark, Oyvind Tafjord +2

Given recent successes in AI (e.g., AlphaGo's victory against Lee Sedol in the game of GO), it's become increasingly important to assess: how close are AI systems to human-level in…

cs.AI2015★ 8 cited

Markov Logic Networks for Natural Language Question Answering

Tushar Khot, Niranjan Balasubramanian, Eric Gribkoff +3

Our goal is to answer elementary-level science questions using knowledge extracted automatically from science textbooks, expressed in a subset of first-order logic. Given the incom…

cs.CL2014★ 42 cited

Unsupervised Methods for Determining Object and Relation Synonyms on the Web

Alexander Pieter Yates, Oren Etzioni

The task of identifying synonymous relations and objects, or synonym resolution, is critical for high-quality information extraction. This paper investigates synonym resolution in…