Cambia Health Solutions, Inc.

Peopleconnect, Inc.

Lin Chen

Xiang Li

Kai Cao

Bei Pan

Weicheng Ma

Xin Wang

Ang Sun

Hakan Kardes

Siddharth Agrawal

Deepak Konidena

Micah Huff

Andrew Kellberg

Methods and systems are provided for receiving an input query at a Variational-sequence-to-sequence dialog generator (VSDG) of a chatbot, and calculating, via a variational autoencoder (VAE) combined with a generative adversarial network (GAN) of the VSDG, a response to the input query. The response may be in a dialog form. Further, in one or more examples, the GAN evaluates the response for updating the VSDG.

Systems and methods for continual updating of response generation by an artificial intelligence chatbot

Methods and systems are provided for a natural language processing system comprising a chatbot adapted for dialog generation. In one example, the system may include a combination of a variational autoencoder (VAE) and a generative adversarial network (GAN) for generating natural responses to input queries. The VAE may convert queries into vector embeddings that may then be used by the GAN to continuously update and improve responses provided by the chatbot.

A novel entity resolution approach for the organization entity domain can be implemented in the MapReduce framework with low memory requirements so that it may scale to large scale datasets. A new clustering approach, sClust, significantly improves the recall of the pairwise classifier.

Graph-based organization entity resolution

Growing community of inventors

Bellevue, WA, United States of America

Lin Chen