A list of puns related to "Semantic Scholar"
https://www.semanticscholar.org/product/semantic-reader
While everybody knows the the pain of reading PDF, it will unlikely to go away anytime soon due to its portability.
I'm quite excited with the new reader, it allows you to click on a citation to see the reference, click on math symbol to see their definition and usages, and many more features in the future.
Hello Schemers, I'm not sure where to ask this, but maybe someone here knows. I don't *think* the Little Schemer has a free online edition, unlike SICP, HTDP, and GISC. But searching, I found the full text on https://www.semanticscholar.org . I'd never heard of semantic scholar, but it seems legit. Does anyone know if semantic scholar just happily returns pirated editions it finds? Or if there is a legit online version of Little Schemer?
Reason: I've bought a paper copy myself of all of the above, but am making a suggested reading page for new users of Scheme for Max, my scheme based computer music project (an external for Max/MSP), and I do not want to say it's online free if that's an illegal copy.
Site: http://semanticscholar.org/.
Article: An AI helps you summarize the latest in AI.
>The news: A new AI model for summarizing scientific literature can now assist researchers in wading through and identifying the latest cutting-edge papers they want to read. On November 16, the Allen Institute for Artificial Intelligence (AI2) rolled out the model onto its flagship product, Semantic Scholar, an AI-powered scientific paper search engine. It provides a one-sentence tl;dr (too long; didn’t read) summary under every computer science paper (for now) when users use the search function or go to an author’s page.
Position Summary
Are you interested in honing your engineering skills while learning about cutting-edge developments in Artificial Intelligence? If so, an internship at AI2 may be the perfect opportunity. AI2 will be reviewing applications and scheduling interviews for 2021 internships in late October. Start dates will be between January and July. We are open to internships that are 3 months or longer.
At AI2, you’d be working not just with talented software engineers but also with world-class AI researchers. We have projects on understanding and answering real-world questions, learning from pictures and videos, and building the world’s best academic search engine. As an intern at AI2, you would be paired with a mentor and embedded on a team. Over the course of your time at AI2, you would complete 2-3 substantial projects that would build your resume and leave an impact on AI2.
This job posting is for an internship with Semantic Scholar: a free, AI-powered research tool for scientific literature. Semantic Scholar use artificial intelligence to extract the semantics, or meaning, of scientific literature and surface it to our users through a discovery experience that helps them understand science more effectively. As an engineering intern at Semantic Scholar, you would have the opportunity to learn about and undertake projects in big data, ML, and web development. Projects previous interns have worked on at S2 include developing a public API for programmatic access to our corpus, and developing new types of recommendations for our website.
What we’re looking for:
About AI2
The Allen Institute for Artificial Intelligence is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of AI2 is to contribute to humanity through high-impact research in artificial intelligence.
It contains 42+ million journal articles. You can filter results into Medicine or Computer Science field, year published, publication type, author(s), journal and conference, contains a PDF, etc.
The website is https://www.semanticscholar.org/
Hello, I can't seem to find their DOI to look it up on scihub. Does anyone know how to get access to the doc itself?
Let's say I want to get this one: https://www.semanticscholar.org/paper/Image-Denoising-by-Two-Pass-of-Total-Variation-Bioucas-Dias-Figueiredo/1defd8fb0f3b9d63f48dd0de84bbfbf246da54b2#related-papers
There is only one corpus ID thingy, which doesn't return anything on on scihub, and google doesn't return anything useful either. This is one of the many papers I'm interested in looking at.
PS: If you can recommend another subreddit to ask, feel free to suggest it
I am training a model for searching through research papers, and I would love to test it out to see how well it does on queries from real users.
I would check to see if the results from the top search engines people use for looking up ML papers are also included in the model.
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