Bill Operations, LLC

Sangammohan Harimohan Singh

Eitan Anzenberg

Lixin Meng

Xin Geng Kelly

Derek Chan

Changlin Zhang

The accuracy of existing machine learning models, software technologies, and computers are improved by using one or more machine learning models to predict a type of data that one or more numerical characters and/or one or more natural language word characters of a document correspond to. For instance, a Question Answering systems can be used to predict that a particular number value corresponds to a date, a billing amount, a page number, or the like.

Model for textual and numerical information retrieval in documents

The accuracy of existing machine learning models, software technologies, and computers are improved by estimating whether a particular page belongs to a same document as another page or whether the page belongs to a different document. Such document distinguishing can be based on deriving relationship information between a first feature vector representing the page and a second feature vector representing the other page. This also improves the user experience and model building experience, among other things.

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San Ramon, CA, United States of America

Sangammohan Harimohan Singh