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Google Dataset Search is a search engine from Google that helps researchers locate online data that is freely available for use. [1] The company launched the service on September 5, 2018, and stated that the product was targeted at scientists and data journalists. The service was out of beta as of January 23, 2020. [2]
Dialogue Systems Research 2015 [73] Lowe, R. et al. Dialog State Tracking Challenge The Dialog State Tracking Challenges 2 & 3 (DSTC2&3) were research challenge focused on improving the state of the art in tracking the state of spoken dialog systems. Transcription of spoken dialogs with labelling
Srinivasan e al, Google Research Visual Genome Images and their description 108,000 images, text Image captioning 2016 [12] R. Krishna et al. Berkeley 3-D Object Dataset 849 images taken in 75 different scenes. About 50 different object classes are labeled. Object bounding boxes and labeling. 849 labeled images, text Object recognition 2014 [13 ...
Analysts have cast doubt on the $5.6 million figure, and that doesn't seem to include essential costs like research, architecture, or data, making it difficult to do a direct comparison with U.S ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
New research shows that heavy lifetime use of cannabis — more than 1,000 times — is associated with reduced activity in areas of the brain involved in working memory. The study adds to ...
And research data from national surveys of American children called the “Youth Risk Behavioral Surveillance System” also wasn’t available on Friday.
In language modelling, ELMo (2018) was a bi-directional LSTM that produces contextualized word embeddings, improving upon the line of research from bag of words and word2vec. It was followed by BERT (2018), an encoder-only Transformer model. [33] In 2019 October, Google started using BERT to process search queries. [34]