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What is the history of Semantic Scholar? Answer: Semantic Scholar was developed by the Allen Institute for Artificial Intelligence (AI2) as an open-access platform for the scientific literature in computer science, biomedicine, and related disciplines. The platform was launched in 2016 and has since grown to be one of the largest and most comprehensive research platforms in the world, with over 90 million research papers, citation networks, and related research papers.
Does Semantic Scholar have an API? Answer: Yes, Semantic Scholar has an API that allows developers to programmatically access the platform's data. The API provides access to the Semantic Scholar database, which includes over 90 million research papers, citation networks, and related research papers. Additionally, the API also provides a set of data-driven tools that can be used to quickly analyze, understand, and compare research papers.
How can I analyze research papers on Semantic Scholar? Answer: Semantic Scholar provides a comprehensive set of data-driven tools that enable users to quickly analyze, understand, and compare research papers. These tools include interactive visualizations and analytics that can help researchers gain insights into the research literature. Additionally, users can also save and share research papers on the platform.
Is Semantic Scholar free to use? Answer: Yes, Semantic Scholar is free to use. It is an open-access platform, and there are no subscription fees or other costs associated with using the platform. All of its features are available for free and can be accessed through both desktop and mobile devices.
How can I contact Semantic Scholar? Answer: Users can contact Semantic Scholar by emailing contact@semanticscholar.org. Additionally, users can also follow Semantic Scholar on Twitter and Facebook for updates and news. The platform also has a blog where users can find more information on the platform and its features.
What type of research papers can I find on Semantic Scholar? Answer: Semantic Scholar focuses on the scientific literature in computer science, biomedicine, and related disciplines. On the platform, users can find research papers on a wide range of topics, including machine learning, natural language processing, computer vision, medical imaging, robotics, systems biology, and more. Additionally, Semantic Scholar also provides access to bibliographic data, citation networks, and related research papers.
How can I access Semantic Scholar? Answer: Semantic Scholar is an open-access platform and can be accessed through both desktop and mobile devices. On desktop, users can access the platform through its website: https://www.semanticscholar.org/. On mobile, users can access the platform through its mobile app, which is available for both iOS and Android devices.
What are the main features of Semantic Scholar? Answer: Semantic Scholar has several key features that enable users to quickly and easily explore the research literature. These include an AI-driven search engine that allows users to quickly find and explore research papers, an interactive visualization and analytics tool to help researchers gain insights into the research literature, and a comprehensive set of data-driven tools that enable users to quickly analyze, understand, and compare research findings. Additionally, Semantic Scholar provides access to bibliographic data, citation networks, and related research papers, as well as the ability to save and share research papers.
Does Semantic Scholar provide access to paywalled content? Answer: No, Semantic Scholar does not provide access to paywalled content. All of the research papers and other content that are available on the platform are open-access, meaning that they are free to access and can be accessed without any costs. Additionally, Semantic Scholar does not provide access to any content that is restricted by copyright or other intellectual property laws.
What is Semantic Scholar? Answer: Semantic Scholar is an AI-powered research platform that enables users to discover, analyze, and understand research literature. It is an open-access platform developed by the Allen Institute for Artificial Intelligence (AI2) that is focused on the scientific literature in computer science, biomedicine, and related disciplines. With its AI-based search engine, Semantic Scholar enables users to easily find and explore research papers, without the need to search through multiple databases. The platform provides a comprehensive set of data-driven tools that help users to quickly analyze, understand, and compare research findings. It also includes interactive visualizations and analytics to help researchers gain insights into the research literature.