Asapp, Inc.

Hui Dai

Joseph Ellsworth Hackman

Gustavo Sapoznik

Shawn Henry

Yi Yang

David Sontag

Thomas Gregory McKelvey, Jr

Sean Adler

Yada Pruksachatkun

Jennifer Marie Seale

Jordan Louis Swartz

A third-party service may be used to assist entities in responding to requests of users by determining a suggested response to a received communication. The third party service may receive a request from a first entity, such as via an application programming interface request, that includes a message in a conversation. A conversation feature vector may be computed by processing the message with a first neural network. A suggested respond to the message may be determined by processing the conversation feature vector with a second neural network. The third-party service may then return the suggested response for use in the conversation. The third-party service may similarly be used to assist other entities in responding to requests of users.

Third-party service for suggesting a response to a received message

Medical records may be analyzed to identify important items in the text of the medical record. Actionable content may be identified and may be emphasized or extracted from the medical record. Actionable content may be categorized into one or more categories. Identification may include processing using trained models that use contextual information and position information to determine sentence labels.

Extracting clinical follow-ups from discharge summaries

A third-party service may be used to assist entities in responding to requests of users. A third-party service may receive, directly or indirectly, a request of a first user for assistance from a first entity. The third-party service may request information about the first user by sending a request to a computer of the first entity. The third-party service may use the request of the first user and the information about the first user to automatically generate a response to the request of the first user. The third-party service may then transmit, directly or indirectly, the response to the first user.

Assisting entities in responding to a request of a user

A user may request assistance or information using natural language, such as by speaking or entering a text. A response may be automatically determined to the request of the user be performing semantic processing to understand the request and formulate an appropriate response. A response may be automatically determined, be computing features from the request, using the features to select a node of a graph corresponding to the request, and then causing an action to be performed to provide a response to the user. For example, the action may include providing information to the user, requesting further information from the user, or connecting the user with a customer service representative.

Automatically responding to a request of a user

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New York, NY, United States of America

Hui Dai