Salesforce Com, Inc.

Salesforce, Inc.

Ryoji Osawa

Dylan Thom

Pragya Anand

Dai Duong Doan

Vlad Eroshin

Zuye Zheng

James David Vogt

James Diefenderfer

Nadeem Marfani Aboobaker

Sameer Sethi

Praveen Pendey

Raymon Sutedjo-The

Methods, systems, and devices supporting primitive-based query generation are described. A database system may receive a natural language query associated with a subset of data sets stored at the database system, determine a set of tokens included in the natural language query, and label one or more tokens of the set of tokens with one or more primitives from a set of supported primitives associated with the subset of data sets. The database system may determine a set of higher order concepts corresponding to query operations, query conditions, or both based on the one or more labeled tokens. The database system may train a neural network to learn a grammatical structure of the natural language query and generate a database query for querying the database system based on the one or more labeled tokens, the set of higher order concepts, and the neural network.

Primitive-based query generation from natural language queries

A method for managing a user's email subscriptions has been developed. The method provides a user interface (UI) to the user that allows the user to view and select multiple stand-alone components across multiple dashboard displays for an email subscription to an email address. The user's selections are received via the UI. A display of each of the subscribed stand-alone components is rendered periodically based on the user's preference. The rendered displays are combined into a single email message that is sent to the email address upon completion of the rendering of the displays.

Personalized dashboard chart for email subscriptions

A method for managing a user's email subscriptions has been developed. The method provides a user interface (UI) to the user that allows the user to view and select multiple stand-alone components across multiple dashboard displays for an email subscription to an email address. The user's selections are received via the UI and include one or more stand-alone components from a first dashboard display and one or more stand-alone components from a second dashboard display in the email subscription. The first dashboard display is not the same was the second dashboard display. A display of each of the subscribed stand-alone components is rendered periodically based on the user's preference. The rendered displays are combined into a single email message that is sent to the email address upon completion of the rendering of the displays.

System, method, and computer product embodiments are described for querying a database using natural language queries (NLQ) to produce actionable results in an answer card. The method allows a user to take further action with the answer card by editing the card contents, manipulating the way data is displayed, or querying the answer results for more details of the data. By the method, the user may continue exploration of the data, use the results to collaborate with others, or build a story from the data in a presentation format, such as a dashboard, while maintaining access to the real-time data of the database through the answer card. System and computer product embodiments implement the method.

Actionable answer card in natural language query

Embodiments are described for enabling a user to query a database using natural language and receive results without requiring the user to manipulate or know details of the database contents. The user is guided in the creation of the natural language query by suggested predetermined queries from a template. Natural language is parsed using the template. The approach allows a user's query words to be completed automatically from the template as the user inputs the words. The approach further allows the next suggested parts of the query to be automatically typed from the template ahead of the user's cursor. Other features provide feedback to the user for invalid or irrelevant queries that cannot be parsed, including suggesting complete predetermined queries from the template. The approach helps the user focus the query on exactly what the user seeks to learn from the database without complex, process-intensive parsing.

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San Francisco, CA, United States of America

Ryoji Osawa