A computer-implemented process includes obtaining a natu ral-language-text document
comprising a first and second clause and determining first and second embedding …

G06F9/5038—Allocation of resources, eg of the central processing unit [CPU] to service a
request the resource being a machine, eg CPUs, Servers, Terminals considering the …

A content compliance system uses machine learning to generate objective verification that
content complies with brand criteria. The content compliance system may force the company …

Abstract Systems and methods are presented for inferring an embedding vector of an item of
a first type into the embedding space. Upon receiving a first time for which there is no …

A dialogue intent analyzer uses a conversation between a user and agent, and intents in the
conversation to predict a set of answers that better respond to pending user question. The …

A machine learning model, including: a categorical input feature, having a defined set of
values; a plurality of non-categorical input features; a word embedding layer configured to …

METHOD AND SYSTEM FOR MAPPING node embeddings using a mapping function, the
mapping TEXT PHRASES TO A TAXONOMY function outputting points in the node …

An insight system identifies brands, subjects, attributes, and the sentiment conveyed for
those attributes. The insight system pairs the attributes with the subjects and brands and …