Abstract: Embodiments provide for improved data sequence validity processing, for example to determine validity of sentences or other language within a particular language domain. Such improved processing is useful at least for arranging data sequences based on determined validity, and/or making determinations and/or performing actions based on the determined validity. A determined probability (e.g., transformed into the perplexity space) of each token appearing in a data sequence is used in any of a myriad of manners to perform such data sequence validity processing. Example embodiments provide for generating a perplexity value set for each data sequence in a plurality of data sequences, generating a probabilistic ranking set for the plurality of data sequences based on the perplexity value sets and at least one sequence ranking metric, and generating an arrangement of the plurality of data sequences based on the probabilistic ranking set.

Abstract: Embodiments of the present disclosure provide for improved data sequence validity processing, for example to determine validity of sentences or other language within a particular language domain. Such improved processing is useful at least for arranging data sequences based on determined validity, and/or making determinations and/or performing actions based on the determined validity. A determined probability (e.g., transformed into the perplexity space) of each token appearing in a data sequence is used in any of a myriad of manners to perform such data sequence validity processing. Example embodiments provide for generating a perplexity value set for each data sequence in a plurality of data sequences, generating a probabilistic ranking set for the plurality of data sequences based on the perplexity value sets and at least one sequence ranking metric, and generating an arrangement of the plurality of data sequences based on the probabilistic ranking set.

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.

Abstract: Example methods include converting received context information into a query to retrieve relevant data from a data repository, wherein the received context information defines a feature set. The method further includes retrieving a data set from the data repository, wherein the data set comprises data corresponding to the query. The example methods further include generating a set of messages that describe at least one linguistically describable trend in the data set, wherein the set of messages is instantiated based at least in part on the data set. The example methods further include generating a context-specific report about the feature set A corresponding apparatus and computer program product are provided.

Abstract: A method, apparatus, and computer program product are disclosed herein for user-directed reporting. In the context of a method, context information is received, wherein the context information defines the data set from which a natural language text or a graph is to be derived. The method further includes generating a set of messages based on the context information. The method further includes generating, by a processor, a context-specific report based on the set of messages and the relationship between them, wherein the context-specific report is configured to linguistically or visually express at least of messages. The method may include generating additional messages or annotations interactively. A corresponding apparatus and computer program product are provided.

Abstract: A method, apparatus, and computer program product are presented herein for user-directed reporting. In the context of a method, context information is received, wherein the context information defines the data set from which a natural language text or a graph is to be derived. The method further includes generating a set of messages based on the context information. The method further includes generating, by a processor, a context-specific report based on the set of messages and the relationship between them, wherein the context-specific report is configured to linguistically or visually express at least of messages. The method may include generating additional messages or annotations interactively. A corresponding apparatus and computer program product are provided.

Abstract: A method, apparatus, and computer program product are disclosed herein for user-directed reporting. In the context of a method, context information is received, wherein the context information defines the data set from which a natural language text or a graph is to be derived. The method further includes generating a set of messages based on the context information. The method further includes generating, by a processor, a context-specific report based on the set of messages and the relationship between them, wherein the context-specific report is configured to linguistically or visually express at least of messages. The method may include generating additional messages or annotations interactively. A corresponding apparatus and computer program product are provided.

Abstract: A method, apparatus, and computer program product are recited herein for user-directed reporting. In the context of a method, context information is received, wherein the context information defines the data set from which a natural language text or a graph is to be derived. The method further includes generating a set of messages based on the context information. The method further includes generating, by a processor, a context-specific report based on the set of messages and the relationship between them, wherein the context-specific report is configured to linguistically or visually express at least of messages. A corresponding apparatus and computer program product are provided.