Abstract: Methods and apparatuses are described for generating parallel synthetic training data for a machine learning model. A server computing device generates a model training dataset from a baseline dataset comprising a plurality of sentences labeled as noncompliant with a ruleset. The server trains a conditional autoregressive language model using the model training dataset as input to generate a corpus of synthetic predicted to be noncompliant with the rulesets. For each synthetic sentence, the server executes a compliance classification model to generate a compliance label for the synthetic sentence. The server identifies a plurality of the synthetic sentences labeled as noncompliant that are semantically similar to sentences from the baseline dataset to generate a first parallel corpus of synthetic training data. The server executes a language suggestion model using the identified synthetic sentences to generate a second parallel corpus of synthetic training data.

Abstract: Systems and methods for tagging data strings in electronic documents using a convolutional neural network model. The method includes receiving an electronic document and extracting data strings from the electronic document. The method also includes tokenizing each of the data strings into tokens and determining a first tag corresponding to a first token for a first data string using a convolutional neural network model. The method further includes receiving user response data corresponding to an accuracy of the first tag and determining a second tag corresponding to the first token based on the user response data using the convolutional neural network model. The method also includes storing results data into a database and generating for display the results data on a user device.

Abstract: A platform independent system for performing a search request provided by a user. The platform independent system includes a consuming application executing on a first computer that handles the search request provided by a user. The search request includes instructions to retrieve selected data from a second application. A web interface module executing on a second computer receives the search request and formulates search routines regardless of the search engine logic or infrastructure of the consuming application to connect to a data model that contains the selected data for retrieval. The web interface module structures data associated with the search request to be compatible for searching with the data model.

Abstract: A platform independent system for performing a search request provided by a user. The platform independent system includes a consuming application executing on a first computer that handles the search request provided by a user. The search request includes instructions to retrieve selected data from a second application. A web interface module executing on a second computer receives the search request and formulates search routines regardless of the search engine logic or infrastructure of the consuming application to connect to a data model that contains the selected data for retrieval. The web interface module structures data associated with the search request to be compatible for searching with the data model.