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Semantic Scholar | Semantic Reader

An AI-powered augmented scientific reading application from the Semantic Scholar team at the Allen Institute for AI, UC Berkeley, and the University of Washington, and supported in part by the Alfred P. Sloan Foundation

semanticscholar · PyPI

Aug 03, 2019· A python library that aims to retrieve data from Semantic Scholar API. Navigation. Project description Release history Download files Project links. Homepage Statistics. View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery. Meta. License: MIT License (MIT) Author: Daniel ...

S2ORC: The Semantic Scholar Open Research Corpus - ACL ...

Apr 28, 2021· S 2 ORC: The Semantic Scholar Open Research Corpus. Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel Weld. Abstract We introduce S2ORC, a large corpus of 81.1M English-language academic papers spanning many academic disciplines. The corpus consists of rich metadata, paper abstracts, resolved bibliographic references, as well as ...

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Session1 (G2/G Flex, webOS TV) | Semantic Scholar

About Semantic Scholar. Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More →

AI2’s Semantic Scholar expands to cover 175 million papers ...

Oct 23, 2019· Semantic Scholar uses natural language processing to get the gist of a paper, understand what processes, chemicals, or results are described, …

Semantic Scholar - Chrome Web Store

Quickly view research on Semantic Scholar, the free, AI-powered academic search engine from the Allen Institute for AI (AI2). This extension provides search and one-click navigation to the Paper Page on semanticscholar.org, where you can save the paper to your library, add it to a research feed, cite the paper, and view citations, figures ...

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Semantic Scholar Open Research Corpus

Sep 17, 2019· Semantic Scholar Open Research Corpus is licensed under ODC-BY. When using the Semantic Scholar Open Research Corpus (“S2 ORC”) in a product or service, or including data in a redistribution, please cite the following paper: Waleed Ammar et al. 2018. Construction of the Literature Graph in Semantic Scholar. NAACL

Semantic Scholar Research - Research

Using the Semantic Scholar corpus of academic publications, we perform large-scale analyses of the scientific literature - discovering trends, identifying biases, and illuminating existing structures. Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI.

Semantic Scholar | TLDR Feature

Semantic Scholar has millions of users who can provide feedback, and help continually improve the technology underlying TLDRs." Mirella Lapata, AI2 Scientific Advisory Board Member, Professor in the School of Informatics at the University of Edinburgh Semantic Scholar …

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Connected Papers | Find and explore academic papers

Semantic Scholar Paper URL. PubMed Paper URL. Or start with one of our example graphs. Science mapping software tools: Review, analysis, and cooperative study among tools (Cobo, 2011) DeepFruits: A Fruit Detection System Using Deep Neural Networks (Sa, 2016)

Semantic Scholar Tutorial Videos

Semantic Scholar 101: Citations Overview Video Transcript "Semantic Scholar is an AI-powered research tool for scientific literature. With billions of citations, Semantic Scholar provides a citation graph that allows scholars to navigate and discover the most relevant research across all fields of study.

Scientists Are Drowning, Artificial Intelligence Will Save ...

Nov 11, 2016· The Semantic Scholar search engine is the keystone project for the Seattle-based organization founded in 2014 by Microsoft visionary Paul Allen. “We’re bringing scientific search to the 21 ^st century here,” says AI2 CEO Oren Etzioni. “We cut through the clutter and home in on key publications and citations.”

Semantic Scholar Pilot for Computer Science Papers | arXiv ...

Nov 14, 2016· Semantic Scholar Pilot for Computer Science Papers. 14 Nov 2016. arXiv is collaborating on a 12-month pilot project with the Allen Institute for Artificial Intelligence (AI2), making the AI-based semanticscholar.org search engine available to the arXiv community. There will be search options available in the Computer Science category, including the abstract, subject, and CoRR …

(PDF) Semantic Scholar - ResearchGate

The coverage test revealed that Semantic Scholar covers 98.88% of the papers. The proposed search strategy enabled the full replication of 13 studies and more than 90% for the 7 remaining studies ...

Semantic Scholar API

Semantic Scholar provides a RESTful API for convenient linking to Semantic Scholar pages and pulling information about individual records on demand (subject to our dataset license agreement). When publicly displaying data from this API, please incorporate the Semantic Scholar name and logo and point back to Semantic Scholar at https://www ...

GitHub - danielnsilva/semanticscholar: A python library ...

Dec 01, 2020· semanticscholar. A python library that aims to retrieve data from Semantic Scholar API.. How to install pip install semanticscholar Usage. Programmatically access paper and author data.

Introducing TLDRs on Semantic Scholar | by Semantic ...

Nov 16, 2020· Semantic Scholar’s new AI-powered TLDR feature, now available in beta mode, automatically generates extreme summaries to help you decide …

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HOW-TO: External Profile IDs | Microsoft Conference ...

HOW-TO: External Profile IDs OVERVIEW. There are three fields in the ‘External Profile Information’ section of the CMT registration page for entering users’ external scholar IDs: Google Scholar ID, Semantic Scholar ID, and DBLP ID.

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Semantic Scholar Research

Semantic Scholar Research. We are a team studying information overload and developing AI tools to overcome it, at the Allen Institute for AI. Active areas of AI research include Natural Language Processing, Machine Learning, Human Computer Interaction, and Information Retrieval.

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S2ORC: The Semantic Scholar Open Research Corpus

2018). Papers in Semantic Scholar are derived from numerous sources: obtained directly from publishers, from resources such as MAG, from various archives such as arXiv or PubMed, or crawled from the open Internet. Semantic Scholar clusters these papers based on title similarity and DOI overlap, resulting in an initial set of approxi-

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