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understand scientific literature</p></a><nav role="navigation" class="subnav__menu w-nav-menu"><a href="https://allenai.org/papers?tag=Semantic%20Scholar" class="research__navbar__text w-nav-link">Publications</a><a href="/research/research-team" class="research__navbar__text w-nav-link">Researchers</a><a href="/research/careers" class="research__navbar__text w-nav-link">Careers</a><a href="/research/prototypes" class="research__navbar__text w-nav-link">Prototypes</a><a href="/resources" aria-current="page" class="research__navbar__text w-nav-link w--current">Resources</a></nav><div class="menu-button-2 w-nav-button"><div class="menu-icon-2 w-icon-nav-menu"></div></div></div></div><div class="blade blade--white"><div class="blade__grid blade__grid--2-1"><div id="w-node-_538d990c-1fdb-b5a8-3842-16aea8f55faa-287a8947" class="blade__content"><h1>Resources</h1><p class="p__intro p__intro--header"><strong>Resources for the Global Research Community</strong></p><p class="p__intro">Semantic Scholar provides the following resources as free services for researchers.<br/></p></div></div></div><div class="filters-wrapper"><h5 class="filter-title">Filter Resources:</h5><a filter-by="f_dataset" href="#" class="button__filter">Dataset</a><a filter-by="f_code" href="#" class="button__filter">Code</a><a filter-by="f_api" href="#" class="button__filter">API</a><a filter-by="f_corpus" href="#" class="button__filter">Corpus</a><a filter-by="f_project" href="#" class="button__filter">Project</a><a filter-by="f_paper" href="#" class="button__filter">Paper</a></div><div class="blade blade--collapsed"><div class="w-dyn-list"><div role="list" class="resources collection-list w-dyn-items"><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://www.semanticscholar.org/product/api" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217ce27667daf4526f6ec88_Bg_textures-19.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">S2AG API</h5><p class="resource__tagline">Providing a reliable source of scholarly data for developers</p><p class="resource__description">Programatically search 200 million papers and 74 million authors</p><p class="resource__tags">f_API</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://scholarphi.org/" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217ce0564c883f971514bc8_Bg_textures-14.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">ScholarPhi</h5><p class="resource__tagline">AI-Powered Augmented Scientific Reading Application</p><p class="resource__description">Augmented scientific reading system developed by AI2, UC Berkeley, and UW</p><p class="resource__tags">f_Project, f_Code, f_Paper</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://api.semanticscholar.org/corpus/" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/62422a38d48da38c47cb171b_Bg_textures-17.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">S2AG Dataset</h5><p class="resource__tagline">Semantic Scholar Academic Graph (S2AG) Dataset</p><p class="resource__description">Semantic Scholar's records for research papers published in all fields provided as an easy-to-use JSON archive </p><p class="resource__tags">f_Dataset</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://github.com/allenai/deepfigures-open" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217ce107e669d7260613282_Bg_textures-12.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">DeepFigures</h5><p class="resource__tagline">Figure extraction using deep neural nets</p><p class="resource__description">Companion code to the paper "Extracting Scientific Figures with Distantly Supervised Neural Networks"</p><p class="resource__tags">f_Code, f_Paper</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://scia11y.org" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217cfc40d6ca91ce3238aa7_Bg_textures-15.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">SciA11y</h5><p class="resource__tagline">Accessible Scientific Reading</p><p class="resource__description">The SciA11y system introduces machine learning models to extract the content of scientific PDFs and render it as accessible HTML</p><p class="resource__tags">f_Project, f_Code, f_Paper</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://www.supp.ai" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217ce2e0dbd9f25f3334782_Bg_textures-18.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">SUPP.AI</h5><p class="resource__tagline">AI-curated corpus of supplement and drug interactions</p><p class="resource__description">Supp.AI automatically extracts evidence of supplement and drug interactions from the scientific literature and presents them in a corpus of 2,044 supplements, 2,842 drugs and 58,017 interactions</p><p class="resource__tags">f_Corpus</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://github.com/allenai/specter" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217cdef94fb29f2e39874cb_Bg_textures-11.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">SPECTER</h5><p class="resource__tagline">Document-level Representation Learning using Citation-informed Transformers</p><p class="resource__description">repository contains code, link to pretrained models, instructions to use SPECTER and link to the SciDocs evaluation framework</p><p class="resource__tags">f_Code, f_Paper</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://github.com/allenai/cord19" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217d13b781a9c732eabc1a1_Bg_textures-13.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">CORD-19</h5><p class="resource__tagline">Coronavirus Open Research Dataset</p><p class="resource__description">CORD-19 is a corpus of academic papers about COVID-19 and related coronavirus research</p><p class="resource__tags">f_Dataset, f_Paper</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://github.com/allenai/s2orc" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217ce1a0fb2b7342ced6b52_Bg_textures-16.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">S2ORC</h5><p class="resource__tagline">Semantic Scholar Open Research Corpus</p><p class="resource__description">Corpus for NLP and text mining research over scientific papers</p><p class="resource__tags">f_Corpus, f_Paper</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://github.com/allenai/S2AND" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/61528bb1362df068d70a00b1_Bg_textures-10.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">S2AND</h5><p class="resource__tagline">Semantic Scholar Author Name Disambiguation</p><p class="resource__description">Our algorithm & evaluation suite for author name disambiguation in scientific literature </p><p class="resource__tags">f_Code, f_Paper, f_Dataset</p></div></a></div><div role="listitem" class="w-dyn-item"><a data-w-id="e77337a8-c901-9509-4f0e-76a7a41c8797" href="https://scifact.apps.allenai.org/" target="_blank" class="resource w-inline-block"><div data-w-id="ad970ed7-bf22-1f7d-366c-e56499d7275d" style="background-image:url("https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/6217ce0564c883f971514bc8_Bg_textures-14.svg")" class="resource__image"></div><div class="resource__text"><h5 class="resource__title">SciFact </h5><p class="resource__tagline">SciFact dataset and claim verification system</p><p class="resource__description">Claim verification system trained on our SciFact dataset</p><p class="resource__tags">f_Dataset</p></div></a></div></div></div></div></main><div class="cta__blade"><h4 class="cta__header">Experience a smarter way to search and discover scholarly research.</h4><a href="https://www.semanticscholar.org/sign-in" class="button button--hero w-button">Create Your Account</a></div><div class="post__list"><h4 class="post__list-heading">Latest News & Updates</h4><div class="w-dyn-list"><div role="list" class="post__grid w-dyn-items"><div role="listitem" class="post w-dyn-item"><a href="https://blog.allenai.org/case-study-iterative-design-for-skimming-support-5563dbe0899e" target="_blank" class="post__link w-inline-block"><div class="post__image-wrapper"><img src="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0.png" loading="lazy" alt="Case Study: Iterative Design for Skimming Support" sizes="(max-width: 479px) 85vw, (max-width: 767px) 84vw, (max-width: 991px) 87vw, 24vw" srcset="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-500.png 500w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-800.png 800w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-1080.png 1080w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-1600.png 1600w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-2000.png 2000w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-2600.png 2600w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0-p-3200.png 3200w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/652055861194e6fc6bb5983a_skimming_2.0.png 5834w" class="post__image"/></div><h4 class="post__title">Case Study: Iterative Design for Skimming Support</h4><div class="post__meta"><div class="post__date">Oct 6, 2023</div><div class="post__read-time">7 min read</div></div><p class="post__intro">How might we help researchers quickly assess the relevance of scientific literature? Take a closer look at Skimming, Semantic Reader’s latest AI feature, and the collaborative design process behind it.</p></a><div class="post__author">Cassidy Trier</div></div><div role="listitem" class="post w-dyn-item"><a href="https://blog.allenai.org/behind-the-scenes-of-semantic-scholars-new-author-influence-design-d7e007ba6a84" target="_blank" class="post__link w-inline-block"><div class="post__image-wrapper"><img src="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM.png" loading="lazy" alt="Behind the Scenes of Semantic Scholar’s New Author Influence Design" sizes="(max-width: 479px) 85vw, (max-width: 767px) 84vw, (max-width: 991px) 87vw, 24vw" srcset="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-500.png 500w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-800.png 800w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-1080.png 1080w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-1600.png 1600w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM-p-2000.png 2000w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64de863a294e5ef80fee0187_Screen%20Shot%202023-02-06%20at%2011.36.31%20AM.png 2150w" class="post__image"/></div><h4 class="post__title">Behind the Scenes of Semantic Scholar’s New Author Influence Design</h4><div class="post__meta"><div class="post__date">Aug 17, 2023</div><div class="post__read-time">5 min read</div></div><p class="post__intro">We released a new version of Author Influence interface to help scholars better discover other scholars in their fields. Here's how we identified user insights and made those design choices.</p></a><div class="post__author">Cassidy Trier, Evie Cheng, Ashley Lee</div></div><div role="listitem" class="post w-dyn-item"><a href="https://www.nature.com/articles/d41586-023-01907-z" target="_blank" class="post__link w-inline-block"><div class="post__image-wrapper"><img src="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature.webp" loading="lazy" alt="Artificial-intelligence search engines wrangle academic literature" sizes="(max-width: 479px) 85vw, (max-width: 767px) 84vw, (max-width: 991px) 87vw, 24vw" srcset="https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature-p-500.webp 500w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature-p-800.webp 800w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature-p-1080.webp 1080w, https://cdn.prod.website-files.com/605ba9b55a4a92803e45a32b/64d15e16ad0f9fd89058273b_nature.webp 1248w" class="post__image"/></div><h4 class="post__title">Artificial-intelligence search engines wrangle academic literature</h4><div class="post__meta"><div class="post__date">Aug 7, 2023</div><div class="post__read-time">5 min read</div></div><p class="post__intro">Nature had a chat with Dan Weld, Chief Scientist at Semantic Scholar, to discuss how search engines are helping scientists explore and innovate by making it easier to draw connections from a massive collection of scientific literature.</p></a><div class="post__author">Amanda Heidt</div></div></div></div></div><footer class="site-footer"><div class="site-footer__top"><div class="site-footer__top-container"><div class="site-footer__about"><h6 class="site-footer site-footer__title">What Is Semantic Scholar?</h6><p class="site-footer site-footer__text">Semantic Scholar is a free, AI-powered research tool for scientific literature, 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