Semantic Scholar

<p>Semantic Scholar is a research tool for scientific literature. It is developed at the <a href="/facts/Allen_Institute_for_AI/gjMqU5vI">Allen Institute for AI</a> and was publicly released in November 2015. Semantic Scholar uses modern techniques in <a href="/facts/Natural_language_processing/1hjMKsSN">natural language processing</a> to support the research process, for example by providing automatically generated summaries of scholarly papers. The Semantic Scholar team is actively researching the use of artificial intelligence in <a href="/facts/Natural_language_processing/1hjMKsSN">natural language processing</a>, <a href="/facts/Machine_learning/e0w0XJTu">machine learning</a>, <a href="/facts/Human%25E2%2580%2593computer_interaction/EkmIxGCx">human–computer interaction</a>, and <a href="/facts/Information_retrieval/MFSmpeNw">information retrieval</a>.
</p><p>Semantic Scholar began as a database for the topics of <a href="/facts/Computer_science/lN3pEyPz">computer science</a>, <a href="/facts/Geoscience/rQsXCSbM">geoscience</a>, and <a href="/facts/Neuroscience/o5RV8Cas">neuroscience</a>. In 2017, the system began including <a href="/facts/Biomedical_literature/C01NYutX">biomedical literature</a> in its corpus. As of September 2022<a href="https://en.wikipedia.org/w/index.php?title=Semantic_Scholar&action=edit">[update]</a>, it includes over 200 million publications from all fields of science.
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Semantic Scholar open-in-new

Semantic Scholar