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Semantic Scholar: Exploring Research Literature with

May 12, 2020 · Different from Google Scholar, Semantic Scholar uses AI to extract meaning from research literature. It helps researchers to explore literature in a new way. In previous posts we talked about various search tools to find scholarly works, including Lens.org and dimensions. This time we want to introduce to HKUST researchers another interesting tool: Semantic Scholar.

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Semantic Scholar - Wikipedia

Semantic Scholar is an artificial-intelligence backed search engine for academic publications developed at the Allen Institute for AI and publicly released in November 2015. It uses advances in natural language processing to provide summaries for scholarly papers.

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AI2 scales up Semantic Scholar search engine for

Oct 17, 2017 · AI2's Marie Hagman drew upon person experience during her work on Semantic Scholar. (GeekWire Photo / Alan Boyle) The inspiration for the latest extension of the Semantic Scholar search engine

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Semantic Scholar Research - Language Modeling and

Iz Beltagy, Matthew E. Peters, and Arman Cohan. preprint • 2020. Tl;DR: We introduce the Longformer, with an attention mechanism that scales linearly with sequence length, achieving state-of-the-art results on multiple character-level language modeling and document-level tasks. s2 View and cite on Semantic Scholar.

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Google Scholar

Google Scholar provides a simple way to broadly search for scholarly literature. Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.

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GitHub - allenai/S2AND: Semantic Scholar's Author

Mar 10, 2021 · As the dummy file says, main_data_dir should be set to the location of wherever you downloaded the data to, and internal_data_dir can be ignored, as it is used for some scripts that rely on unreleased data, internal to Semantic Scholar. How to use S2AND for loading data and training a model. Once you have downloaded the datasets, you can go ahead and load up one of them

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Semantic Scholar – Medium

Semantic Scholar, by AI2, is a free AI-based academic search engine used by over 4 million researchers each month. We've partnered with Springer Nature to power advanced discovery of academic

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Semantic Scholar Research - People

Semantic Scholar Research investigates information overload and develops AI tools to overcome it as part of the Allen Institute for AI.

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SciTLDR

Nov 18, 2020 · Semantic Scholar, a scientific literature search engine, is using recent breakthroughs in natural-language processing to give researchers the tl;dr on papers.

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M. Vidovič | Semantic Scholar

Mar 01, 2004 · Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More. About About Us Publishers Beta Program Contact. Research Team Datasets Open Corpus Supp.ai. Resources Librarians Tutorials FAQ API. Proudly built by AI2.

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Literature Graph Service

Fetch paper and author data from the Semantic Scholar corpus /paper. Search for papers by keyword . query Parameters. offset: integer. Default: 0. When returning a list of results, start with the element at this position in the list. limit: integer. Default: 100. The maximum number of results to return.

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Semantic Scholar - Wikipedia

Semantic Scholar is an artificial-intelligence backed search engine for academic publications developed at the Allen Institute for AI and publicly released in November 2015. It uses advances in natural language processing to provide summaries for scholarly papers.

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Semantic Scholar | AI-Powered Research Tool

Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More. About About Us Publishers Beta Program Contact. Research Team Datasets Open Corpus Supp.ai. Resources Librarians Tutorials FAQ API. Proudly built by AI2.

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(PDF) A look at Semantic Scholar and Google Scholar

About Semantic Scholar Semantic Scholar is the academic search engine that developed by The Allen Institute for Artificial Intelligence and launched in November 2015. The presence of this web application provides alternative services for researchers to find scientific references and allows the users to cull through the millions of scientific

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Lost Green OA articles from Semantic Scholar

Apr 27, 2021 · Richard Orr. Over the last two weeks, one of the largest repositories we index, Semantic Scholar, removed most of the articles it had been hosting. The end result for Unpaywall is that about 1 million formerly Green OA articles are now Closed. This is about 12% of all Green OA. We're working on finding new locations for as many articles as we can.

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HOW-TO: External Profile IDs | Microsoft Conference

HOW-TO: External Profile IDs OVERVIEW. There are three fields in the 'External Profile Information' section of the CMT registration page for entering users' external scholar IDs: Google Scholar ID, Semantic Scholar …

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Construction of the Literature Graph in Semantic Scholar

Proceedings of NAACL-HLT 2018, pages 84–91 New Orleans, Louisiana, June 1 - 6, 2018. c 2017 Association for Computational Linguistics Construction of the Literature Graph in Semantic Scholar

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Scolary — Semantic Scholar

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

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Semantic Scholar 101: Paper Pages - YouTube

Jul 30, 2020 · Semantic Scholar is a free, AI-powered research tool for scientific literature used by more than 8 million scholars globally. With nearly 200 million papers

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S2ORC: The Semantic Scholar Open Research Corpus

2018). Papers in Semantic Scholar are derived from numerous sources: obtained directly from publishers, from resources such as MAG, from various archives such as arXiv or PubMed, or crawled from the open Internet. Semantic Scholar clusters these papers based on title similarity and DOI overlap, resulting in an initial set of approxi-

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