Memorial Day Offer

Discover your mystery discount!

Semantic Scholar

<h2>Technology and Features of Semantic Scholar</h2> – Semantic Scholar offers one-sentence summaries of scientific literature. – It addresses the challenge of reading lengthy abstracts on […]

« Back to Glossary Index

<h2>Technology and Features of Semantic Scholar</h2>
– Semantic Scholar offers one-sentence summaries of scientific literature.
– It addresses the challenge of reading lengthy abstracts on mobile devices.
– The platform uses artificial intelligence for abstractive techniques.
– Utilizes machine learning, natural language processing, and machine vision for semantic analysis.
– Features Research Feeds, an adaptive research recommender using AI.

<h2>Growth and User Statistics</h2>
– In January 2018, Semantic Scholar had over 40 million papers from computer science and biomedicine.
– Doug Raymond led the project in March 2018.
– By August 2019, metadata for over 173 million papers was included.
– In 2020, a partnership with the University of Chicago Press added their articles to the corpus.
– By the end of 2020, Semantic Scholar indexed 190 million papers and had 7 million users per month.

<h2>Impact of New Publisher Partnerships</h2>
– New publisher partnerships increased access to scientific papers.
– Enriched the platform’s content and attracted more users.
– Improved search results and enhanced academic resources.

<h2>Advantages of Semantic Scholar</h2>
– Provides access to a vast scientific database.
– Facilitates research across disciplines with advanced search capabilities.
– Enhances academic productivity and supports evidence-based decision-making.

<h2>Importance of Scientific Papers and Future Growth Prospects</h2>
– Scientific papers contribute to knowledge advancement and serve as valuable research resources.
– Enable peer-reviewed information sharing and enhance academic and scientific discourse.
– Future prospects include further expansion, more publisher partnerships, enhanced research tools, increased user base, and remaining a key player in academic search.

Semantic Scholar (Wikipedia)

Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. Semantic Scholar uses modern techniques in natural language processing 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 natural language processing, machine learning, human–computer interaction, and information retrieval.

Semantic Scholar
Type of site
Search engine
Created byAllen Institute for Artificial Intelligence
URLsemanticscholar.org
LaunchedNovember 2, 2015; 8 years ago (2015-11-02)

Semantic Scholar began as a database for the topics of computer science, geoscience, and neuroscience. In 2017, the system began including biomedical literature in its corpus. As of September 2022, it includes over 200 million publications from all fields of science.

« Back to Glossary Index
This site uses cookies to offer you a better browsing experience. By browsing this website, you agree to our use of cookies.