S2CID (identifier)

Quick Facts: Who was S2CID (identifier)?

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S2CID (identifier)

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A research tool using AI to summarize and index scientific literature across all fields.

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2Day Chrono-Wiki & Primary Historical Archives

Origins & Early Life

Semantic Scholar is a research tool for scientific literature. 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 began as a database for the topics of computer science, geoscience, and neuroscience.

Career & Major Achievements

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. Semantic Scholar provides a 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 is ever read.

Enduring Legacy & Impact

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. Another key AI-powered feature is Research Feeds, an adaptive research recommender that uses AI to quickly learn what papers users care about reading and recommends the latest research to help scholars stay up to date. It uses a paper embedding model trained using contrastive learning to find papers similar to those in each Library folder. Semantic Scholar also offers Semantic Reader, an augmented reader with the potential to revolutionize scientific reading by making it more accessible and richly contextual.

Chronological Milestones & Life Events

1. 2015: 2015 Milestone — It is developed at the Allen Institute for AI and was publicly released in November 2015.
2. 2017: 2017 Milestone — In 2017, the system began including biomedical literature in its corpus.
3. 2022: 2022 Milestone — As of September 2022, it includes over 200 million publications from all fields of science.

Historical Fact-Check Quiz: S2CID (identifier)

True or False: “Semantic Scholar searches for material that is behind a paywall, similar to some other academic search engines.”

Answer (FALSE ❌): Unlike some competitors, Semantic Scholar does not search for material that is behind a paywall.

Contemporary Figures & Related Historical Timelines

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• Alexander Vovin — Historical peer (Died in 2022) (2022): Pioneering Russian-American linguist specializing in East Asian languages, particularly Japanese.

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