id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
en-wikipedia-org-3323		Semantic Scholar - Wikipedia			.html	text/html	911	297	61	Search service for journal articles Publicly released in November 2015, it is designed to be an AI-backed search engine for academic publications.[1] 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, entities, and venues from papers.[2] In comparison to Google Scholar and PubMed, Semantic Scholar is designed to highlight the most important and influential papers, and to identify the connections between them. 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.[3] In March 2018, Doug Raymond, who developed machine learning initiatives for the Amazon Alexa platform, was hired to lead the Semantic Scholar project.[4] ^ "AI2 scales up Semantic Scholar search engine to encompass biomedical research".	./cache/en-wikipedia-org-3323.html	./txt/en-wikipedia-org-3323.txt