SemanticScholar

@SemanticScholar

Semantic Scholar is an AI-powered scientific exploration and discovery tool. A free product of Paul Allen's , we help researchers achieve impact.

Seattle, WA
Vrijeme pridruživanja: veljača 2019.

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  1. Prikvačeni tweet
    7. stu 2019.

    We're a free, AI-powered research tool for scientific literature. Semantic Scholar extracts meaning and identifies connections from within papers, then surface these insights to help scholars discover and understand research.

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  2. Can tomatoes help seismologists predict earthquakes? Learn about 's strange discovery.

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  3. 31. sij

    Claiming an author page enables you to edit your author details and manage your list of papers. If you've claimed your page, revisit to add your affiliation, homepage, or refine your list of papers to ensure your research is discoverable.

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  4. 30. sij

    We love to hear about which features you use most! Thanks for the mention !

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  5. 23. sij

    Thanks for a great blog post ! Your excellent review of these research tools ultimately helps us create a better product.

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  6. 17. sij

    It's always exciting to see the creative uses of our . You can download our corpus for free at . Thank you for sharing!

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  7. proslijedio/la je Tweet
    15. sij

    We are likely to be overestimating the true capabilities of machine commonsense across all these benchmarks. From: To appear in

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  8. proslijedio/la je Tweet
    6. sij
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  9. 1. sij

    Wishing you a Happy New Year! From your friends at Semantic Scholar.

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  10. 25. pro 2019.

    Happy Holidays from Semantic Scholar!

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  11. 19. pro 2019.

    We love your ideas ! Please keep them coming. 👏🙌

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  12. 19. pro 2019.

    Semantic Scholar is getting ready for 2020 and dreaming up great ideas for new features. What do you hope to see from Semantic Scholar in 2020? 🌱💭

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  13. 18. pro 2019.

    The Fair Ranking track, a research effort aiming to coordinate research around the idea of fairness has partnered with us! Researchers from and are working with to find ways to measure bias in data and search.

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  14. 17. pro 2019.

    Learning about Conditional Adversarial Networks? Visit this paper on the topic. You'll find figures and tables, citations as well as videos, code libraries, and news articles discussing its exciting applications and developments.

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  15. 17. pro 2019.

    Generative adversarial networks or are image translation models that, when trained on other datasets, have many exciting applications. From creative image generation to modeling anticancer molecules, are an exciting frontier in AI. Explore!

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  16. proslijedio/la je Tweet
    22. stu 2019.

    Please RT: Apply for a research internship with the team in Seattle! Multiple openings for topics including , , & for scholars. Apply now (we review applications on a rolling basis):

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  17. 28. stu 2019.

    Thanksgiving holiday in the U.S. serves as a reminder to express gratitude. Research shows that exercising the practice of gratefulness throughout the year can have its benefits.

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  18. 28. stu 2019.

    Curious if the tryptophan from your Thanksgiving feast really does boost your mood, make you sleepy, or improve immune tolerance? Read the research. 🦃🥔🍐🥕🧀🍠🥛

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  19. 28. stu 2019.

    Wishing you a Happy Thanksgiving from your friends at Semantic Scholar.

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  20. 25. stu 2019.

    Did you know? Semantic Scholar displays presentation slides for your favorite papers!

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  21. 22. stu 2019.

    "infoDOCKET has been posting about, using, and demonstrating SemanticScholar since day one. This academic research search tool is a 100% impressive and useful research resource." - Thanks so much for supporting from day 1!

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