Recursive Neural Networks / MIT Press / Weston / Air Force Research Laboratory / Neural Tensor Networks / Microsoft / Bank of China / Google Inc. / /
Country
United States / Italy / China / Spain / India / / /
Facility
Stanford University / /
IndustryTerm
web documents / tensor network / matrix products / relationship networks / bilinear tensor product / natural language processing / linear products / social / web-scale commonsense fact database / /
Organization
Defense Advanced Research Projects Agency / National Science Foundation / MIT / US government / Stanford University / Andrew Y. Ng Computer Science Department / U.S. Securities and Exchange Commission / /
Person
Matteo Rosselli / Francesco Patrizi / Richard Socher / Andrew Y. Ng / Pablo Picaso / Van Gogh / Wrel / Francesco Guicciardini / /
Position
model for collective learning on multirelational data / model for sentiment analysis / historian / /
Product
Neural Tensor Network / C-7020 / Relationship R / /
ProgrammingLanguage
XML / /
PublishedMedium
Communications of the ACM / /
SportsLeague
Stanford University / /
Technology
XML / speech recognition / natural language processing / closed circuit television / neural network / artificial intelligence / machine learning / /
Reasoning With Neural Tensor Networks for Knowledge Base Completion Richard Socher∗, Danqi Chen*, Christopher D. Manning, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305, USA richard@s