A system is provided for natural language processing. In some embodiments, the system
includes an encoder for generating context-specific word vectors for at least one input …

Techniques and systems are described to model and extract knowledge from images. A
digital medium environment is configured to learn and use a model to compute a descriptive …

A processing unit can extract salient semantics to model knowledge carryover, from one turn
to the next, in multi-turn conversations. Architecture described herein can use the end-to-end …

A whole sentence recurrent neural network (RNN) language model (LM) is provided for for
estimating a probability of likelihood of each whole sentence processed by natural language …

Abstract Systems, methods, and computer-readable media for providing semantically-
relevant discovery of solutions are described herein. In some examples, a computing device …

A face recognition neural network generates small dimensional facial feature vectors for
faces in received images. A multi-task learning classifier network receives generated vectors …

A method for receiving an input user query from a user in any of multiple languages and
creating an input user query vector for the input user query is provided. The input user query …

Described herein are systems and methods that address the task of learning novel visual
concepts, and their interactions with other concepts, from a few images with sentence …

Methods, systems, and apparatus, including computer pro grams encoded on a computer
storage medium, for training acoustic models and using the trained acoustic models. A …

Semantic clustering techniques are described. In various implementations, a conversational
agent is configured to perform semantic clustering of a corpus of user utterances. Semantic …