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Found 30 papers, 9 papers with code
The Semantic Scholar Open Data Platform
The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field.
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
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 intelligence (AI) and its impact on society.
A Computational Inflection for Scientific Discovery
We stand at the foot of a significant inflection in the trajectory of scientific discovery.
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
We investigate these challenges in the context of Iconary, a collaborative game of drawing and guessing based on Pictionary, that poses a novel challenge for the research community.
Can Machines Learn Morality? The Delphi Experiment
As AI systems become increasingly powerful and pervasive, there are growing concerns about machines' morality or a lack thereof.
CORD-19: The COVID-19 Open Research Dataset
The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research.
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
This paper reports unprecedented success on the Grade 8 New York Regents Science Exam, where for the first time a system scores more than 90% on the exam's non-diagram, multiple choice (NDMC) questions.
Construction of the Literature Graph in Semantic Scholar
We describe a deployed scalable system for organizing published scientific literature into a heterogeneous graph to facilitate algorithmic manipulation and discovery.
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
We present a new question set, text corpus, and baselines assembled to encourage AI research in advanced question answering.
Question Answering via Integer Programming over Semi-Structured Knowledge
We propose a structured inference system for this task, formulated as an Integer Linear Program (ILP), that answers natural language questions using a semi-structured knowledge base derived from text, including questions requiring multi-step inference and a combination of multiple facts.
Moving Beyond the Turing Test with the Allen AI Science Challenge
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 intelligence?
Markov Logic Networks for Natural Language Question Answering
In the first, we simply use the extracted science rules directly as MLN clauses.
Parsing Algebraic Word Problems into Equations
This paper formalizes the problem of solving multi-sentence algebraic word problems as that of generating and scoring equation trees.
Unsupervised Methods for Determining Object and Relation Synonyms on the Web
The task of identifying synonymous relations and objects, or synonym resolution, is critical for high-quality information extraction.
Modeling Missing Data in Distant Supervision for Information Extraction
Distant supervision algorithms learn information extraction models given only large readily available databases and text collections.
Named Entity Recognition in Tweets: An Experimental Study
The performance of standard NLP tools is severely degraded on tweets.
