Abstract: Embodiments provide for a temporal expression parser in a conversational data-to-text system are described herein. An example method may include receiving user query data comprising an input text string; generating, based at least in part on the input text string, a n-gram set comprising a plurality of n-gram elements; traversing each n-gram element in the n-gram set to generate a parse tree list comprising one or more parse trees based on a grammar template associated with the input text string; and generating, based at least in part on a last parse tree of the parse tree list, one or more semantic frames indicating a temporal expression associated with the input text string.

Abstract: Methods, apparatuses and computer program products for providing a conversational data-to-text system are described herein. An example method may include receiving a first natural language query from a client device; generating a first analytic operation instruction associated with a multi-dimensional dataset based at least in part on the first natural language query; determining a first multi-dimensional data object based at least in part on the first analytic operation instruction and the multi-dimensional dataset; generating a first natural language response to the first natural language query based at least in part on the first multi-dimensional data object; and transmitting the first natural language response to the client device.