Semantic Scholar

Semantic Scholar
Type of site
Search engine
Created byAllen Institute for Artificial Intelligence
LaunchedNovember 2, 2015 (2015-11-02)[1]

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.[2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers.[3] The Semantic Scholar team is actively researching the use of artificial intelligence in natural language processing, machine learning, human–computer interaction, and information retrieval.[4]

Semantic Scholar began as a database for the topics of computer science, geoscience, and neuroscience.[5] In 2017, the system began including biomedical literature in its corpus.[5] As of September 2022, it includes over 200 million publications from all fields of science.[6]

  1. ^ Jones, Nicola (2015). "Artificial-intelligence institute launches free science search engine". Nature. doi:10.1038/nature.2015.18703. ISSN 1476-4687. S2CID 182440976.
  2. ^ Eunjung Cha, Ariana (3 November 2015). "Paul Allen's AI research group unveils program that aims to shake up how we search scientific knowledge. Give it a try". The Washington Post. Archived from the original on 6 November 2019. Retrieved November 3, 2015.
  3. ^ Hao, Karen (November 18, 2020). "An AI helps you summarize the latest in AI". MIT Technology Review. Retrieved 2021-02-16.
  4. ^ "Semantic Scholar Research". Retrieved 2021-11-22.
  5. ^ a b Fricke, Suzanne (2018-01-12). "Semantic Scholar". Journal of the Medical Library Association. 106 (1): 145–147. doi:10.5195/jmla.2018.280. ISSN 1558-9439. S2CID 45802944.
  6. ^ Matthews, David (1 September 2021). "Drowning in the literature? These smart software tools can help". Nature. Retrieved 5 September 2022. ...the publicly available corpus compiled by Semantic Scholar – a tool set up in 2015 by the Allen Institute for Artificial Intelligence in Seattle, Washington – amounting to around 200 million articles, including preprints.

From Wikipedia, the free encyclopedia · View on Wikipedia

Developed by Nelliwinne