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.

Abstract: Methods, apparatuses, and computer program products are described herein that are configured to be embodied as and/or performed by a document planner. In some example embodiments, a method is provided that comprises selecting a schema based on one or more messages available in a message store and using the selected schema and one or more messages available in the message store to generate a document plan. The schema of this embodiment may be defined by a specification containing one or more queries for selecting one or more messages, one or more messages, and/or one or more predefined phrases to instantiate a document plan. The method of this embodiment may also include applying an optimization specification to the document plan to generate an optimized document plan.

Abstract: A method, apparatus, and computer program product for describing motion. The method may include receiving a set of eventualities (114). The set of eventualities (114) may describe at least one of a domain event and a domain state. The at least one of the domain event and the domain state may be derived from a set of spatio-temporal data (102) and the set of eventualities (114) may be associated with a particular region and a particular time period. The method may include organizing the set of eventualities to generate a document plan. The method may further include generating, using a processor, a linguistic representation of the set of eventualities using the document plan.

Abstract: Methods, apparatuses, and computer program products are described herein that are configured to express a time in an output text. In some example embodiments, a method is provided that comprises identifying a time period to be described linguistically in an output text. The method of this embodiment may also include identifying a communicative context for the output text. The method of this embodiment may also include determining one or more temporal reference frames that are applicable to the time period and a domain defined by the communicative context. The method of this embodiment may also include generating a phrase specification that linguistically describes the time period based on the descriptor that is defined by a temporal reference frame of the one or more temporal reference frames. In some examples, the descriptor specifies a time window that is inclusive of at least a portion of the time period to be described linguistically.

Abstract: Image analysis techniques may be employed to identify moving and/or static object within a sequence of spatial data frames (102, 300). Attributes of interest may be identified within a sequence of spatial data frames (102, 300). The attributes of interest may be clustered and examined across frames of the spatial data to detect motion vectors. A system (200) may derive information about these attributes of interest and their motion over time and identify moving and/or static objects, and the moving and/or static objects may be used to generate natural language messages describing the motion of the attributes of interest. Example uses include description of moving and/or static objects in data such as weather data, oil spills, cellular growth (e.g., tumor progression), atmospheric conditions (e.g., the size of a hole in the ozone layer), or any other implementation where it may be desirable to detect motion vectors in a sequence of spatial data frames.

Abstract: Methods, apparatuses, and computer program products are described herein that are configured to express a linguistic description of set of points within a spatial area in an output text. In some example embodiments, a method is provided that comprises generating one or more descriptors and/or one or more combinations of descriptors that are configured to linguistically describe at least a portion of a set of points within a spatial area. The method of this embodiment may also include scoring each of the one or more descriptors and/or one or more combinations of the one or more descriptors. The method of this embodiment may also include selecting a descriptor or combination of descriptors that has the highest score when compared to other descriptors or combination of descriptors, providing the descriptor or combination of descriptors satisfies a threshold.