Abstract: Automated response generation systems and methods are disclosed. The systems can include a deep learning model specially configured to apply inferencing techniques to redesign natural language querying systems for use over knowledge graphs. The disclosed systems and methods provide a model for inferencing referred to as a Hierarchical Recurrent Path Encoder (HRPE). An entity extraction and linking module as well as a data conversion and generation module process the content of a given query. The output is processed by the proposed model to generate inferred answers.

Abstract: Automated response generation systems and methods are disclosed. The systems can include a deep learning model specially configured to apply inferencing techniques to redesign natural language querying systems for use over knowledge graphs. The disclosed systems and methods provide a model for inferencing referred to as a Hierarchical Recurrent Path Encoder (HRPE). An entity extraction and linking module as well as a data conversion and generation module process the content of a given query. The output is processed by the proposed model to generate inferred answers.

Abstract: In some implementations, a device may access source data associated with a web platform. The device may determine that the source data is associated with a topic. The device may extract, based on the source data being associated with the topic, web data associated with the web platform. The device may select, based on a characteristic of the web data, a model to process the web data to convert the web data to a representation associated with the web data. The model may be a summarization model that is configured to generate the representation to include a summary of text of the web data and/or a visualization model that is configured to generate the representation to include a visualization associated with the text of the web data. The device may cause the model to convert the web data to the representation.