Jpmorgan Chase Bank, N.a.

Ubs Business Solutions Ag

Hanoz Bhathena

Barry Scott Hurewitz

Omar Moustafa

Aviral Joshi

Prateek Singh

Prashanth Jeganathen

A method may receive a text string of an utterance. A method may tokenize the utterance into a plurality of tokens. A method may transform the plurality of tokens into a plurality of feature vectors. A method may assign an entity label to each of the plurality of feature vectors. A method may resolve each feature vector of the plurality of feature vectors to a corresponding standardized value of a database query language.

Systems and methods for generating query parameters from natural language utterances

Methods and systems are described herein for improvements to identifying thematic relationships in data sets using machine learning models. In particular, the methods and systems describe a way to identify dynamic thematic relationships (e.g., thematic relationships that may change as a function of time) as a function of time.

Methods and systems for identifying dynamic thematic relationships as a function of time

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Hanoz Bhathena