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Semantic Scholar. Semantic Scholar ialah sebuah enjin carian berasaskan kepintaran buatan yang dikhususkan bagi terbitan ilmiah yang dibangunkan oleh Allen Institute for AI, dan dilancarkan pada November 2015. [1] Enjin ini menggunakan pemprosesan bahasa semula jadi untuk memberikan ringkasan berkenaan kandungan terbitan ilmiah. [2]
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 Publications. We are an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility and computational social science in support of Semantic Scholar's mission of accelerating science. Our team is part of the Allen Institute for AI, a nonprofit research institute advancing AI for the common good.
May 18, 2015 · A large, deep convolutional neural network was trained to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes and employed a recently developed regularization method called "dropout" that proved to be very effective. Expand. 108,603. PDF.
Jun 12, 2017 · Attention is All you Need. Ashish Vaswani, Noam M. Shazeer, +5 authors. Illia Polosukhin. Published in Neural Information Processing… 12 June 2017. Computer Science. TLDR. A new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely is proposed, which ...
Oct 6, 2023 · It will enhance the discovery, search and browsing experiences of their researchers and users. Exactly how publishers leverage the metadata that Semantic Scholar creates will be driven by each publisher’s unique needs, and custom development work will be supported by HighWire’s professional services team."
