Google Inc.

Nikunj Agrawal

Kedar Dhamdhere

Kevin Snow McCurley

Daniel Adam Gundrum

Shrikant Ravindra Shanbhag

Rohit Ananthakrishna

Juyun June Song

Mukund Sundararajan

Rifat Ralfi Nahmias

Garima

Null Garima

Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of characteristics based on the grid range. A logic operation may then be determined to apply on the plurality of characteristics to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.

Systems and methods for processing a natural language query in data tables

Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a natural language query may be originated by a user via a user interface. The natural language query may be parsed to obtain a query term, and a grid range may be identified in a data table as relevant to the query term. A table summary may be prepared including a plurality of data entities based on the grid range. A logic operation may then be determined to apply on the plurality of data entities to derive the query term. The logic operation may then be translated into a formula executable on the data table, and the formula is applied on the data table to generate a result in response to the natural language query.

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New Delhi, India

Nikunj Agrawal