The Toronto-dominion Bank

Thomas M Kerigan

Robert Trojan

Jeffrey A Martin

John Jong-Suk Lee

John Jong Suk Lee

Sarabjit Singh Walia

Gregory Richard Harper

Christianne Moretti

Dean Constantin Nicholas Tseretopoulos

Salvatore Aspro

Mok Choe

Evgenia Syromyatnikova

To automatically generate a project document, a server in a computing environment receives input documents associated with a project, and extracts a set of features from each input document. The server determines a frequency of the words in each input document and stores the frequencies in relation to the words in the sets of words. The server than applies a document type machine-learned model to a set of words for each input document to infer a document type. The document machine-learned model may be trained using a bag-of-words representation. The server then applies a architecture pattern machine-learned model the set of input documents to determine a target architecture pattern. The server automatically generates a project document for the project based on the document types and inferred architecture pattern.

Target document template generation

The invention relates to printing and other output of documents using data processors, and particularly to methods, apparatus, and computer programming useful for controlling output processes. In various aspects the invention provides systems, methods, and computer programming useful for minimizing the number of command inputs required from a user to complete printing or other output of multiple documents. In other aspects, the invention provides systems, methods, and computer programming useful for printing documents using content data received from users or other sources, together with previously-provided form data, according to predetermined formats.

Computing device for generating a document by combining content data with form data

Document output processing

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Toronto, Canada

Thomas M Kerigan