Neural network architectures with memory and attention mechanisms exhibit certain reasoning capabilities required for question answering. Add co-authors Co-authors. The ones marked * may be different from the article in the profile. We introduce a neural network model with a novel intra-attention that attends over the input and continuously generated output … Richard Socher, former chief scientist at Salesforce, who helped build the Einstein synthetic intelligence platform, is taking up a brand new problem — and . Search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions. This "Cited by" count includes citations to the following articles in Scholar. Richard Socher you.com Verified email at stanford.edu Michael Mahoney Professor of Statistics, UC Berkeley Verified email at stat.berkeley.edu Peter Mingru Tian PhD Student, Operations Research and Financial Engineering, Princeton University Verified email at princeton.edu “ Improved Semantic Representations from Tree-structured Long Short-term Memory Networks .” For longer documents and summaries however these models often include repetitive and incoherent phrases. Richard Socher, former chief scientist at Salesforce, who helped build the Einstein artificial intelligence platform, is taking on a new challenge -- and it's a doozy. (Tai et al., 2015) ⇒ Kai Sheng Tai, Richard Socher, and Christopher D. Manning. Merged citations. Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi: EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ( 2015 ). Richard Socher, former chief scientist at Salesforce, who helped build the Einstein artificial intelligence platform, is taking on a new challenge — and it’s a doozy. The following articles are merged in Scholar. Google Scholar provides a simple way to broadly search for scholarly literature. Richard Socher, the former Chief Scientist at Salesforce, today dropped the figurative bomb when he announced the launch of You.com, a site he says will compete directly with Google … CoRR abs/2005.12484 (2020) Attentional, RNN-based encoder-decoder models for abstractive summarization have achieved good performance on short input and output sequences. Their combined citations are counted only for the first article. You can already go to it today. "We are building you.com. Mount Road, Chennai, India ... Former Salesforce chief scientist announces new search engine to take on Google – TechCrunch. ‪Startup‬ - ‪引用: 70,843 件‬ - ‪natural language processing‬ - ‪deep learning‬ - ‪machine learning‬ - ‪artificial intelligence‬ - ‪computer vision‬ Socher wants to fix consumer search and today he announced you.com, a new search engine to take on the mighty Google. And it's a trusted search engine. One such architecture, the dynamic memory network (DMN), obtained high accuracy on a variety of language tasks. However, it was not shown whether the architecture achieves strong results for question answering when supporting facts are not … Al., 2015 ) ⇒ Kai Sheng Tai, Richard Socher, and Christopher D..! Variety of language tasks the following articles in Scholar reasoning capabilities required for question answering and summaries however these often...... Former Salesforce chief scientist announces new search engine to take on Google – TechCrunch longer and... 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