Abstract: Various embodiments described herein provide for methods and systems of providing related information from a data source. For example, a method may include responding to a natural language query with a natural language response that includes and describes data related to the natural language query. The related data may correspond to the numerical data or text discovered from various data sources. Further, a database trained with a machine-learning algorithm may be utilized to identify time series related data that is associated with the natural language query and that is used within the generated natural language response. The methods and systems described herein may be utilized by a message bot when responding to questions posed by an online user during a chat session.

Abstract: Methods and systems of providing related information to a source document are described. The method may include accessing the source document displayed to a user in a graphical user interface (GUI) of a client device. The source document includes numerical data and text. Discovered data corresponding to the numerical data included in the source document is then identified. Further, a database trained with a machine-learning algorithm to identify time series data related data associated with the text is accessed. The discovered data with a discovered data identifier and the time series related data is then displayed in the GUI. In example embodiments, the methods and systems described herein interact with applications such as spreadsheets applications, email clients, word processing applications, webpages and the like.

Abstract: Methods and systems of providing related information to a source document are described. The method may include accessing the source document displayed to a user in a graphical user interface (GUI) of a client device. The source document includes numerical data and text. Discovered data corresponding to the numerical data included in the source document is then identified. Further, a database trained with a machine-learning algorithm to identify time series data related data associated with the text is accessed. The discovered data with a discovered data identifier and the time series related data is then displayed in the GUI. In example embodiments, the methods and systems described herein interact with applications such as spreadsheets applications, email clients, word processing applications, webpages and the like.

Abstract: Various embodiments described herein provide for methods and systems of providing related information from a data source. For example, a method may include responding to a natural language query with a natural language response that includes and describes data related to the natural language query. The related data may correspond to the numerical data or text discovered from various data sources. Further, a database trained with a machine-learning algorithm may be utilized to identify time series related data that is associated with the natural language query and that is used within the generated natural language response. The methods and systems described herein may be utilized by a message bot when responding to questions posed by an online user during a chat session.

Abstract: Methods and systems of providing related information to a source document are described. The method may include accessing the source document displayed to a user in a graphical user interface (GUI) of a client device. The source document includes numerical data and text. Discovered data corresponding to the numerical data included in the source document is then identified. Further, a database trained with a machine-learning algorithm to identify time series data related data associated with the text is accessed. The discovered data with a discovered data identifier and the time series related data is then displayed in the GUI. In example embodiments, the methods and systems described herein interact with applications such as spreadsheets applications, email clients, word processing applications, webpages and the like.