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Scholar</a></div><ul role="list" class="section-navigation__links"><li><a href="/about" aria-current="page" class="section-navigation__link w--current">Overview</a></li><li><a href="/about/team" class="section-navigation__link">Our Team</a></li><li><a href="/about/publishers" class="section-navigation__link">Publishers</a></li><li><a href="https://medium.com/ai2-blog/semantic-scholar/home" target="_blank" class="section-navigation__link">Blog</a></li><li><a href="https://allenai.org/careers?team=semantic+scholar#current-openings" target="_blank" class="section-navigation__link">AI2 Careers</a></li></ul></div></div><div class="blade blade--white"><div class="blade__grid blade__grid--2-1"><div id="w-node-_01b33ef4-3627-503f-8016-d6d19fdb812c-287a88a0" class="blade__content"><h1>About Semantic Scholar</h1><p class="p__intro p__intro--header">Helping Scholars Discover New Insights</p><p class="p__intro">Semantic Scholar provides free, AI-driven search and discovery tools, and open resources for the global research community. </p><p>We index over 200 million academic papers sourced from <a href="/about/publishers">publisher partnerships</a>, data providers, and web crawls.</p></div><div class="blade__content"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60d37af64aa9cd061f711154_about_us_discovery_v3-01.png" loading="lazy" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60d37af64aa9cd061f711154_about_us_discovery_v3-01-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60d37af64aa9cd061f711154_about_us_discovery_v3-01.png 800w" sizes="(max-width: 479px) 57vw, (max-width: 767px) 47vw, (max-width: 991px) 46vw, 30vw" alt="Illustration: Papers being accelerated by Semantic Scholar" class="blade__illustration"/></div></div></div><div id="mission" class="blade"><div class="blade__grid blade__grid--3-4"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/6274192c8e3f6111c5eab05f_accelerating-science-01.svg" loading="lazy" alt="" class="blade__illustration"/><div id="w-node-ebd49be8-c582-20ea-d949-557cc42afe7c-287a88a0" class="blade__content"><h2 id="w-node-b66281cf-7042-169e-dccc-19b4be366f0d-287a88a0" class="section__header">Our Mission</h2><h3 class="margin-top--none"><strong>Accelerating Scientific Breakthroughs Using AI </strong><br/></h3><p class="p__intro">We are a Research and Product Development team within Ai2 building a better way to search and discover scientific knowledge.</p><div class="w-richtext"><p>Developed in-house, our state-of-the-art models process and classify papers in our pipeline. We distribute open code and datasets while publishing results of our research in the areas of Natural Language Processing, Machine Learning, Human Computer Interaction, and Information Retrieval.<br/></p></div></div></div></div><div class="blade blade--white"><div class="blade__grid blade__grid--2-1"><div id="w-node-fe3709fc-954a-75b6-b27b-fcf845fcb7c3-287a88a0" class="blade__content"><h3><strong>AI-Driven Tools for Scholars</strong><br/></h3><p class="p__intro">Staying up-to-date with scientific literature is an increasingly pressing challenge for scholars.<br/></p><p> With Semantic Scholar, researchers can understand a paper at a glance. Our system extracts meaning and identifies connections from within papers, then surfaces these insights to help Scholars discover and understand research.</p><a href="/product" class="button button--secondary w-button">Learn More</a></div><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62718c998b96968f71e7a0bf_Concept%20Illustrations_mar2021-01.svg" loading="lazy" alt="" class="blade__illustration"/></div></div><div id="values" class="blade blade--collapsed"><div class="blade__grid blade__grid--full"><h3 class="content-centered margin-top--none">Our Values<br/></h3><p class="p__intro content-centered">Our Values reflect who we are, why we are building Semantic Scholar, and guide us through hard decisions.</p><div class="grid--values"><div data-w-id="609ec677-037f-1112-2382-c399a03a7302" class="well value"><h4 class="values__title">Apply AI Creatively</h4><p class="values__description">We are motivated to use AI in novel ways for a dramatic impact. Tackling our problems with AI not only helps our community, it also improves the quality of our AI research by grounding it in real-world application.</p></div><div data-w-id="e1ce5059-790c-fae6-3479-5c45e89653ec" class="well value"><h4 class="values__title">Promote Equal Access to Science</h4><p class="values__description">Scientific knowledge should be available to everyone. We recognize that the status quo disproportionately benefits certain groups of scholars over others. As a non-profit, we evaluate the impact of our choices and pursue directions that help balance the scales.</p></div><div data-w-id="3d1f6a66-7ef2-f1ef-8dae-da8955b0129b" class="well value"><h4 class="values__title">Be Collaborative</h4><p class="values__description">Collaboration makes us stronger. We make a conscious effort to collaborate with our teammates, and by doing so, we will both improve the quality of our work and distribute the burden of support.</p></div><div data-w-id="002e2e43-9dff-d99d-d580-e893e7ce7d91" class="well value"><h4 class="values__title">Take Bold Measures</h4><p class="values__description">We are small, but mighty. We stand behind our convictions when we believe they are the right direction, even if that is a more difficult path. We question what has been done historically, never satisfied with the status quo.</p></div><div data-w-id="83db287d-f7f0-c485-e897-3c12f4b308d3" class="well value"><h4 class="values__title">Learn Early</h4><p class="values__description">We aim to gain knowledge sooner by starting conversations early and by prototyping our ideas quickly. When we realize a path we have chosen is not working, we are willing to recognize it openly and do the work to learn from it.</p></div><div data-w-id="ccc911f0-1acf-59f1-cce5-f10d948f0789" class="well value"><h4 class="values__title">Be Trustworthy and Transparent</h4><p class="values__description">We aim to establish a higher standard for applying AI in a trustworthy and transparent way. By educating and building trust in our AI-driven solutions, we will foster a community who are invested in our success and patient with our mistakes.</p></div></div></div></div><div id="resources" class="blade blade--white"><div class="blade__grid blade__grid--1-2"><div class="blade__content"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/62718f3ac217494953fdff98_resources-API-illo-01.svg" loading="lazy" alt="" class="blade__illustration"/></div><div id="w-node-e0511705-57c9-3f6d-e938-64d454c81eca-287a88a0" class="blade__content"><h3 class="margin-top--none"><strong>Resources for the Global Research Community</strong><br/></h3><p class="p__intro">We provide a free, reliable source of scholarly data for developers to build projects that accelerate scientific progress.</p><div class="w-richtext"><p> The Semantic Scholar Academic Graph (S2AG) <a href="https://api.semanticscholar.org/corpus">Dataset</a> and <a href="https://www.semanticscholar.org/product/api">APIs</a> provide records for research papers published in all fields provided as an easy-to-use JSON archive. The Semantic Scholar Open Research Corpus (<a href="https://github.com/allenai/s2orc">S2ORC</a>) is a general purpose corpus for NLP and text mining research over scientific papers built and maintained by Semantic Scholar’s research team. Papers are aggregated into a unified source to create the largest publicly-available collection of machine-readable academic text, provided as a JSON archive.<br/></p></div></div></div></div><div class="blade blade--dark"><div class="blade__grid"><div class="blade__content"><h3 class="text--on-dark">AI For The Common Good<br/></h3><p class="p__intro">At Ai2, our mission is building breakthrough AI to solve the world's biggest problems.<br/></p><div class="w-richtext"><p>Semantic Scholar was launched in 2015 as a groundbreaking project at Ai2, a non-profit research institute founded in 2014 with the mission of conducting high-impact AI research and engineering in service of the common good. Ai2 is the creation of Paul Allen, Microsoft co-founder.<br/></p></div><ul role="list" class="list--inline w-list-unstyled"><li class="list--inline li"><a href="https://allenai.org/founder" class="link--on-dark">Our Founder</a></li><li class="list--inline li"><a href="https://allenai.org/board-of-directors.html" class="link--on-dark">Board of Directors</a></li><li class="list--inline li"><a href="https://allenai.org/scientific-advisory-board.html" class="link--on-dark">Scientific Advisory Board</a></li><li class="list--inline li"></li></ul></div><div id="w-node-b31403d8-8739-18ad-c2be-0eca1ffa4178-287a88a0" class="blade__content"><div style="padding-top:56.17021276595745%" class="w-video w-embed"><iframe class="embedly-embed" src="//cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FbszE8BHFMjU%3Ffeature%3Doembed&display_name=YouTube&url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DbszE8BHFMjU&image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FbszE8BHFMjU%2Fhqdefault.jpg&key=96f1f04c5f4143bcb0f2e68c87d65feb&type=text%2Fhtml&schema=youtube" scrolling="no" allowfullscreen title="Why AI2?"></iframe></div></div></div></div><div class="cta__blade"><h4 class="cta__header">Are you interested in our mission? Join the team!</h4><a href="https://allenai.org/careers?dept=59084#current-openings" target="_blank" class="button button--hero w-button">View Openings</a></div><div class="blade"><div class="blade__grid blade__grid--full"><div class="portal__navigation"><div class="card nav__block"><div class="nav__block-text"><a href="/about/publishers" class="nav__block-title">Industry Partners</a><p class="nav__block-intro">Partnering with 50+ Publishers and Scholarly Societies<br/></p><p>Reach millions of scholars by integrating your academic content into Semantic Scholar's knowledge graph</p><a href="/about/publishers" class="button button--secondary w-button">Learn More</a></div><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca656b3b3d13c539653243_publishing_partners-03.png" loading="lazy" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca656b3b3d13c539653243_publishing_partners-03-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca656b3b3d13c539653243_publishing_partners-03.png 800w" sizes="(max-width: 479px) 63vw, (max-width: 767px) 62vw, (max-width: 991px) 30vw, 299.6166687011719px" alt="Illustration: Publishing Partners" class="nav__block-image"/></div><div class="card nav__block nav__block--alt"><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca619419d01f1781423bd6_beta_program_v3-01.png" loading="lazy" srcset="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca619419d01f1781423bd6_beta_program_v3-01-p-500.png 500w, https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/60ca619419d01f1781423bd6_beta_program_v3-01.png 800w" sizes="(max-width: 479px) 63vw, (max-width: 767px) 62vw, (max-width: 991px) 30vw, 299.6166687011719px" alt="Illustration: Beta Program" class="nav__block-image"/><div class="nav__block-text"><a href="/product/beta-program" class="nav__block-title">Join Our Beta Program</a><p class="nav__block-intro">Help improve the future of scholarly research<br/></p><p>Join our Beta Program to provide feedback and help scholars around the globe</p><a href="/product/beta-program" class="button button--secondary w-button">Learn More</a></div></div><div class="card nav__block"><div class="nav__block-text"><a href="/about/publishers" class="nav__block-title">Media</a><p class="nav__block-intro">Brand Toolkit<br/></p><p>Download logos, illustrations, and brand guidelines</p><a href="https://drive.google.com/uc?export=download&id=1Mp_m1JVUkD69rZY-8x68c9g0P7Trjjc7" target="_blank" class="button button--secondary w-button">Download</a></div><img src="https://cdn.prod.website-files.com/605236bb767e9a5bb229c63c/61de1b6644f08554e9de4a3c_assets-folder-01.svg" loading="lazy" alt="Illustrated folder with papers and a circle in it" class="nav__block-image"/></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><div class="newsletter"><div class="newsletter__container"><div class="newsletter-layout"><h5 class="newsletter-title">Stay Connected With Semantic Scholar</h5><div class="newsletter-embed w-embed w-script"> <script charset="utf-8" type="text/javascript" src="//js.hsforms.net/forms/v2.js"></script> <script> 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