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Semantic Scholar is a project developed at the Allen Institute for Artificial Intelligence. Publicly released in November 2015, it is designed to be an AI-backed search engine for scientific journal articles. The project uses a combination of machine learning, natural language processing, and machine vision to add a layer of semantic analysis ...
Our Work. Semantic Scholar Publications. We are an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility and computational social science in support of Semantic Scholar's mission of accelerating science. Our team is part of the Allen Institute for AI, a nonprofit research institute advancing AI for the common good. Follow ...
The CALYPSO methodology for structure prediction. Qunchao 群超 Tong 童J. Lv 吕Pengyue 朋越 Gao 高Yanchao 彦超 Wang 王. Structure prediction methods have been widely used as a state-of-the-art tool for structure searches and materials discovery, leading to many theory-driven breakthroughs on discoveries of new….
Oct 6, 2023 · It will enhance the discovery, search and browsing experiences of their researchers and users. Exactly how publishers leverage the metadata that Semantic Scholar creates will be driven by each publisher’s unique needs, and custom development work will be supported by HighWire’s professional services team."
To download an EndNote .enw file, select EndNote. To import a citation using a reference management software browser plugin such as Zotero Connector or Mendeley Web Importer, navigate to the paper's page in Semantic Scholar and then select your reference manager's extension in your browser. Please note that when using Zotero Connector, you may ...
Semantic Scholar is a free, AI-powered research tool for scientific literature developed at the Allen Institute for AI. Sematic Scholar was publicly released in 2015 and uses advances in natural language processing to provide summaries for scholarly papers.
May 6, 2018 · The Semantic Scholar Open Data Platform. This paper combines public and proprietary data sources using state-of-theart techniques for scholarly PDF content extraction and automatic knowledge graph construction to build the Semantic Scholar Academic Graph, the largest open scientific literature graph to-date. Expand.
