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Wikipedia

Semantic Scholar

Semantic Scholar is an artificial-intelligence backed search engine for academic publications developed at the Allen Institute for AI and publicly released in November 2015. It uses advances in natural language processing to provide summaries for scholarly papers.

Semantic Scholar
Type of site
Search engine
Created byAllen Institute for Artificial Intelligence
URLsemanticscholar.org
LaunchedNovember 2015 (2015-11)

Contents

Semantic Scholar provides one-sentence summary of scientific literature. One of its aims was to address the challenge of reading numerous titles and lengthy abstracts on mobile devices. It also seeks to ensure that the three million scientific papers published yearly reach readers since it is estimated that only half of this literature are ever read.

Artificial intelligence is used to capture the essence of a paper, generating it through an "abstractive" technique. The project uses a combination of machine learning, natural language processing, and machine vision to add a layer of semantic analysis to the traditional methods of citation analysis, and to extract relevant figures, tables, entities, and venues from papers.

In contrast with Google Scholar and PubMed, Semantic Scholar is designed to highlight the most important and influential paper. The AI technology is designed to identify hidden connections and links between research topics. Like the previously cited search engines, Semantic Scholar also exploits graph structures, which include the Microsoft Academic Knowledge Graph, Springer Nature's SciGraph, and the Semantic Scholar Corpus.

Each paper hosted by Semantic Scholar is assigned a unique identifier called the Semantic Scholar Corpus ID (abbreviated S2CID). The following entry is an example:

Liu, Ying; Gayle, Albert A; Wilder-Smith, Annelies; Rocklöv, Joacim (March 2020). "The reproductive number of COVID-19 is higher compared to SARS coronavirus". Journal of Travel Medicine. 27 (2). doi:10.1093/jtm/taaa021. PMC7074654. PMID 32052846. S2CID 211099356.

As of January 2018, following a 2017 project that added biomedical papers and topic summaries, the Semantic Scholar corpus included more than 40 million papers from computer science and biomedicine. In March 2018, Doug Raymond, who developed machine learning initiatives for the Amazon Alexa platform, was hired to lead the Semantic Scholar project. As of August 2019, the number of included papers had grown to more than 173 million after the addition of the Microsoft Academic Graph records.

In 2020, users of Semantic Scholar reached seven million a month.

  1. 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. RetrievedNovember 3, 2015.
  2. Hao, Karen (November 18, 2020). "An AI helps you summarize the latest in AI". MIT Technology Review. Retrieved2021-02-16.
  3. Grad, Peter (November 24, 2020). "AI tool summarizes lengthy papers in a sentence". Tech Xplore. Retrieved2021-02-16.
  4. "Allen Institute's Semantic Scholar now searches across 175 million academic papers". VentureBeat. 2019-10-23. Retrieved2021-02-16.
  5. Bohannon, John (11 November 2016). "A computer program just ranked the most influential brain scientists of the modern era". Science. doi:10.1126/science.aal0371. Archived from the original on 29 April 2020. Retrieved12 November 2016.
  6. Christopher Clark; Santosh Divvala (2016). PDFFigures 2.0: Mining figures from research papers. Proceedings of the 16th ACM/IEEE-CS Joint Conference on Digital Libraries. ISBN 978-1-4503-4229-2. Wikidata Q108172042.
  7. "Semantic Scholar". International Journal of Language and Literary Studies. Retrieved2021-11-09.
  8. Baykoucheva, Svetla (2021). Driving Science Information Discovery in the Digital Age. Chandos Publishing. p. 91. ISBN 978-0-12-823724-3.
  9. Jose, Joemon M.; Yilmaz, Emine; Magalhães, João; Castells, Pablo; Ferro, Nicola; Silva, Mário J.; Martins, Flávio (2020). Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I. Cham, Switzerland: Springer Nature. p. 254. ISBN 978-3-030-45438-8.
  10. "AI2 scales up Semantic Scholar search engine to encompass biomedical research". GeekWire. 2017-10-17. Archived from the original on 2018-01-19. Retrieved2018-01-18.
  11. "Tech Moves: Allen Instititue Hires Amazon Alexa Machine Learning Leader; Microsoft Chairman Takes on New Investor Role; and More". GeekWire. 2018-05-02. Archived from the original on 2018-05-10. Retrieved2018-05-09.
  12. "Semantic Scholat". Semantic Scholar. Archived from the original on 11 August 2019. Retrieved11 August 2019.
  13. "AI2 joins forces with Microsoft Research to upgrade search tools for scientific studies". GeekWire. 2018-12-05. Archived from the original on 2019-08-25. Retrieved2019-08-25.


Semantic Scholar
Semantic Scholar Language Watch Edit 160 160 Redirected from S2CID identifier Semantic Scholar is an artificial intelligence backed search engine for academic publications developed at the Allen Institute for AI and publicly released in November 2015 1 It uses advances in natural language processing to provide summaries for scholarly papers 2 Semantic ScholarType of siteSearch engineCreated byAllen Institute for Artificial IntelligenceURLsemanticscholar wbr orgLaunchedNovember 2015 2015 11 Contents 1 Technology 2 See also 3 References 4 External linksTechnology EditSemantic Scholar provides one sentence summary of scientific literature One of its aims was to address the challenge of reading numerous titles and lengthy abstracts on mobile devices 3 It also seeks to ensure that the three million scientific papers published yearly reach readers since it is estimated that only half of this literature are ever read 4 Artificial intelligence is used to capture the essence of a paper generating it through an abstractive technique 2 The project uses a combination of machine learning natural language processing and machine vision to add a layer of semantic analysis to the traditional methods of citation analysis and to extract relevant figures tables entities and venues from papers 5 6 In contrast with Google Scholar and PubMed Semantic Scholar is designed to highlight the most important and influential paper 7 The AI technology is designed to identify hidden connections and links between research topics 8 Like the previously cited search engines Semantic Scholar also exploits graph structures which include the Microsoft Academic Knowledge Graph Springer Nature s SciGraph and the Semantic Scholar Corpus 9 Each paper hosted by Semantic Scholar is assigned a unique identifier called the Semantic Scholar Corpus ID abbreviated S2CID The following entry is an example Liu Ying Gayle Albert A Wilder Smith Annelies Rocklov Joacim March 2020 The reproductive number of COVID 19 is higher compared to SARS coronavirus Journal of Travel Medicine 27 2 doi 10 1093 jtm taaa021 PMC 7074654 PMID 32052846 S2CID 211099356 dd As of January 2018 following a 2017 project that added biomedical papers and topic summaries the Semantic Scholar corpus included more than 40 million papers from computer science and biomedicine 10 In March 2018 Doug Raymond who developed machine learning initiatives for the Amazon Alexa platform was hired to lead the Semantic Scholar project 11 As of August 2019 the number of included papers had grown to more than 173 million 12 after the addition of the Microsoft Academic Graph records 13 In 2020 users of Semantic Scholar reached seven million a month 3 See also EditCitation analysis Citation index Knowledge extraction List of academic databases and search engines ScientometricsReferences Edit 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 a b Hao Karen November 18 2020 An AI helps you summarize the latest in AI MIT Technology Review Retrieved 2021 02 16 a b Grad Peter November 24 2020 AI tool summarizes lengthy papers in a sentence Tech Xplore Retrieved 2021 02 16 Allen Institute s Semantic Scholar now searches across 175 million academic papers VentureBeat 2019 10 23 Retrieved 2021 02 16 Bohannon John 11 November 2016 A computer program just ranked the most influential brain scientists of the modern era Science doi 10 1126 science aal0371 Archived from the original on 29 April 2020 Retrieved 12 November 2016 Christopher Clark Santosh Divvala 2016 PDFFigures 2 0 Mining figures from research papers Proceedings of the 16th ACM IEEE CS Joint Conference on Digital Libraries ISBN 978 1 4503 4229 2 Wikidata Q108172042 Semantic Scholar International Journal of Language and Literary Studies Retrieved 2021 11 09 Baykoucheva Svetla 2021 Driving Science Information Discovery in the Digital Age Chandos Publishing p 91 ISBN 978 0 12 823724 3 Jose Joemon M Yilmaz Emine Magalhaes Joao Castells Pablo Ferro Nicola Silva Mario J Martins Flavio 2020 Advances in Information Retrieval 42nd European Conference on IR Research ECIR 2020 Lisbon Portugal April 14 17 2020 Proceedings Part I Cham Switzerland Springer Nature p 254 ISBN 978 3 030 45438 8 AI2 scales up Semantic Scholar search engine to encompass biomedical research GeekWire 2017 10 17 Archived from the original on 2018 01 19 Retrieved 2018 01 18 Tech Moves Allen Instititue Hires Amazon Alexa Machine Learning Leader Microsoft Chairman Takes on New Investor Role and More GeekWire 2018 05 02 Archived from the original on 2018 05 10 Retrieved 2018 05 09 Semantic Scholat Semantic Scholar Archived from the original on 11 August 2019 Retrieved 11 August 2019 AI2 joins forces with Microsoft Research to upgrade search tools for scientific studies GeekWire 2018 12 05 Archived from the original on 2019 08 25 Retrieved 2019 08 25 External links EditWikidata has the properties Semantic Scholar topic ID P6611 see uses Semantic Scholar author ID P4012 see uses Semantic Scholar corpus ID P8299 see uses Semantic Scholar paper ID P4011 see uses Official website This article about a search engine website is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Semantic Scholar amp oldid 1054368277, wikipedia, wiki, book,

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