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Semantic Scholar is a research tool for scientific literature powered by artificial intelligence. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated ...
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is available.
Desktop search for Windows, Mac OS X (Tiger), Unix/Linux. MPL v1.1: Tracker: Linux, Unix: Open-source desktop search tool for Unix/Linux GPL v2 : Tropes Zoom: Windows: Semantic Search Engine (no longer available) Freeware and commercial Unity Dash: Linux: Part of Ubuntu Desktop: GPL v3, LGPL v2.1: Windows Search: Windows
Microsoft Academic. Microsoft Academic was a free internet-based academic search engine for academic publications and literature, developed by Microsoft Research in 2016 as a successor of Microsoft Academic Search. Microsoft Academic was shut down in 2022. Both OpenAlex [1] [2] and The Lens claim to be successors to Microsoft Academic.
Microsoft. URL. academic .research .microsoft .com. Commercial. No. Microsoft Academic Search was a research project and academic search engine retired in 2012. It relaunched in 2016 as Microsoft Academic, which in turn was shut down in 2022. The content of the latter was allegedly incorporated into The Lens. [1]
Semantic AI, Inc. Semantic AI (formerly Semantic Research, Inc.) is a privately held software company headquartered in San Diego, California with offices in the National Capitol Region. Semantic AI is a Delaware C-corporation that offers patented, graph-based knowledge discovery, analysis and visualization software technology.
Semantic search seeks to improve search accuracy by understanding the searcher's intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Some authors regard semantic search as a set of techniques for retrieving knowledge from richly ...
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
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