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Semantic Scholar

Service

No article has been written for this page yet; it is generated from the knowledge graph.
About Semantic Scholar · from Wikipedia

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.

Summary from Wikipedia ↗, CC BY-SA 4.0.
  • Paper Scout Oct 2026
    An agent that supports the SKILL.md standard (Claude Code, Codex CLI, Cursor, Gemini CLI) reads the skill's instructions and drives a single Python script, scripts/scout.py, through a fixed sequence: Search OpenAlex, Semantic Scholar and arXiv with three to six search strings written from different angles.

As data

Everything on this page is read from triples in the knowledge graph. These are the 3 it states about Semantic Scholar, and 1 more its ontology implies; the console runs SPARQL over the whole graph, here in your browser.

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@prefix id: <https://ask.chaipat.cc/id/> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix cj: <https://ask.chaipat.cc/ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix schema: <https://schema.org/> .

id:SemanticScholar
    a cj:Service ;
    rdfs:label "Semantic Scholar" ;
    schema:sameAs <https://en.wikipedia.org/wiki/Semantic_Scholar> .
Works 1
Paper Scout