Abstract: Disclosed herein is computer technology that provides adaptive mechanisms for learning concepts that are expressed by natural language sentences, and then applies this learning to appropriately classify new natural language sentences with the relevant concept that they express.

Abstract: Disclosed herein are example embodiments that describe how a narrative generation techniques can be used in connection with data visualization tools to automatically generate narratives that explain the information conveyed by a visualization of a data set. In example embodiments, new data structures and artificial intelligence (AI) logic can be used by narrative generation software to map different types of visualizations to different types of story configurations that will drive how narrative text is generated by the narrative generation software.

Abstract: Disclosed herein are example embodiments that describe how a narrative generation techniques can be used in connection with data visualization tools to automatically generate narratives that explain the information conveyed by a visualization of a data set. In example embodiments, new data structures and artificial intelligence (AI) logic can be used by narrative generation software to map different types of visualizations to different types of story configurations that will drive how narrative text is generated by the narrative generation software.

Abstract: Disclosed herein is computer technology that applies natural language processing (NLP) techniques to training data to generate information used to train a natural language generation (NLG) system to produce output that stylistically resembles the training data. In this fashion, the NLG system can be readily trained with training data supplied by a user so that the NLG system is adapted to produce output that stylistically resembles such training data. In an example, an NLP system detects a plurality of linguistic features in the training data. These detected linguistic features are then aggregated into a specification data structure that is arranged for training the NLG system to produce natural language output that stylistically resembles the training data. Parameters in the specification data structure can be linked to objects in an ontology used by the NLG system to facilitate the training of the NLG system based on the detected linguistic features.

Abstract: A cable gland includes a cavity having first and second axial ends and configured to receive one or more conductors and a curable liquid therein, and an internal dam. The internal dam is adjacent the second axial end of the cavity. The internal dam includes an annular filament holder and a plurality of filaments secured to and extending radially inward from the annular filament holder to receive the one or more conductors to inhibit curable liquid from flowing through the dam and between the dam and the one or more conductors of a cable.

Abstract: Disclosed herein is an NLP system that is able to extract meaning from a natural language message using improved parsing techniques. Such an NLP system can be used in concert with an NLG system to interactively interpret messages and generate response messages in an interactive conversational stream. The parsing can include (1) named entity recognition that contextualizes the meanings of words in a message with reference to a knowledge base of named entities understood by the NLP and NLG systems, (2) syntactically parsing the message to determine a grammatical hierarchy for the named entities within the message, (3) reduction of recognized named entities into aggregations of named entities using the determined grammatical hierarchy and reduction rules to further clarify the message's meaning, and (4) mapping the reduced aggregation of named entities to an intent or meaning, wherein this intent/meaning can be used as control instructions for an NLG process.

Abstract: An electrical connection assembly includes an electrical box including a housing having an internal surface defining an internal volume of the housing. An electrical connector is positioned outside the internal volume of the housing and fixed to the housing with a fastener. The housing includes an aperture having an opening defining an insertion path extending from a location external to the housing along a frame of the electrical connector to a location within the internal volume of the housing. The assembly includes a disc mechanically secured to the housing relative to the opening to obstruct the insertion path. A retainer and a bushing including a membrane for the electrical connector as well as methods of making an electrical connector are also provided.

Abstract: An electrical connection assembly includes an electrical box including a housing having an internal surface defining an internal volume of the housing. An electrical connector is positioned outside the internal volume of the housing and fixed to the housing with a fastener. The housing includes an aperture having an opening defining an insertion path extending from a location external to the housing along a frame of the electrical connector to a location within the internal volume of the housing. The assembly includes a disc mechanically secured to the housing relative to the opening to obstruct the insertion path. A retainer and a bushing including a membrane for the electrical connector as well as methods of making an electrical connector are also provided.

Abstract: A press coupler is provided for use with a pipe or conduit system. The press coupler facilitates increased ease and speed of assembly of pipe and conduit installations and can be used with both threaded and non-threaded connections.

Abstract: To provide users with more flexibility for focusing and controlling visualizations of data, the inventors disclose new data structures and artificial intelligence logic that can be utilized in conjunction with notional specifications of focus criteria for visualizations. In an example embodiment, the inventors disclose technology that can be used to generate data structures that represent notional characteristics of the visualization data which in turn can be tied to specific elements of the visualization data to support interactive focusing of visualizations in notional terms that correspond to interesting aspects of the data. This allows a user to specify using notional criteria how a visualization should be focused on specific elements without needing to know in advance what those specific elements are.

Abstract: An electrical connection assembly includes an electrical box including a housing having an internal surface defining an internal volume of the housing. An electrical connector is positioned outside the internal volume of the housing and fixed to the housing with a fastener. The housing includes an aperture having an opening defining an insertion path extending from a location external to the housing along a frame of the electrical connector to a location within the internal volume of the housing. The assembly includes a disc mechanically secured to the housing relative to the opening to obstruct the insertion path. A retainer and a bushing including a membrane for the electrical connector as well as methods of making an electrical connector are also provided.

Abstract: Disclosed herein is computer technology that provides adaptive mechanisms for learning concepts that are expressed by natural language sentences, and then applies this learning to appropriately classify new natural language sentences with the relevant concept that they express. The computer technology can also discover the uniqueness of terms within a training corpus, and sufficiently unique terms can be flagged for the user for possible updates to an ontology for the system.

Abstract: To provide users with more flexibility for focusing and controlling visualizations of data, the inventors disclose new data structures and artificial intelligence logic that can be utilized in conjunction with notional specifications of focus criteria for visualizations. In an example embodiment, the inventors disclose technology that can be used to generate data structures that represent notional characteristics of the visualization data which in turn can be tied to specific elements of the visualization data to support interactive focusing of visualizations in notional terms that correspond to interesting aspects of the data. This allows a user to specify using notional criteria how a visualization should be focused on specific elements without needing to know in advance what those specific elements are.

Abstract: Disclosed herein is computer technology that applies natural language processing (NLP) techniques to training data to generate information used to train a natural language generation (NLG) system to produce output that stylistically resembles the training data. In this fashion, the NLG system can be readily trained with training data supplied by a user so that the NLG system is adapted to produce output that stylistically resembles such training data. In an example, an NLP system detects a plurality of linguistic features in the training data. These detected linguistic features are then aggregated into a specification data structure that is arranged for training the NLG system to produce natural language output that stylistically resembles the training data. Parameters in the specification data structure can be linked to objects in an ontology used by the NLG system to facilitate the training of the NLG system based on the detected linguistic features.

Abstract: Disclosed herein are example embodiments that describe how a narrative generation techniques can be used in connection with data visualization tools to automatically generate narratives that explain the information conveyed by a visualization of a data set. In example embodiments, new data structures and artificial intelligence (AI) logic can be used by narrative generation software to map different types of visualizations to different types of story configurations that will drive how narrative text is generated by the narrative generation software.

Abstract: An electrical connection assembly includes an electrical box including a housing having an internal surface defining an internal volume of the housing. An electrical connector is positioned outside the internal volume of the housing and fixed to the housing with a fastener. The housing includes an aperture having an opening defining an insertion path extending from a location external to the housing along a frame of the electrical connector to a location within the internal volume of the housing. The assembly includes a disc mechanically secured to the housing relative to the opening to obstruct the insertion path. A retainer and a bushing including a membrane for the electrical connector as well as methods of making an electrical connector are also provided.

Abstract: Disclosed herein are example embodiments that describe how a narrative generation techniques can be used in connection with data visualization tools to automatically generate narratives that explain the information conveyed by a visualization of a data set. In example embodiments, new data structures and artificial intelligence (AI) logic can be used by narrative generation software to map different types of visualizations to different types of story configurations that will drive how narrative text is generated by the narrative generation software.

Abstract: Disclosed herein are example embodiments that describe how a narrative generation techniques can be used in connection with data visualization tools to automatically generate narratives that explain the information conveyed by a visualization of a data set. In example embodiments, new data structures and artificial intelligence (AI) logic can be used by narrative generation software to map different types of visualizations to different types of story configurations that will drive how narrative text is generated by the narrative generation software.

Abstract: Disclosed herein is computer technology that applies natural language processing (NLP) techniques to training data to generate information used to train a natural language generation (NLG) system to produce output that stylistically resembles the training data. In this fashion, the NLG system can be readily trained with training data supplied by a user so that the NLG system is adapted to produce output that stylistically resembles such training data. In an example, an NLP system detects a plurality of linguistic features in the training data. These detected linguistic features are then aggregated into a specification data structure that is arranged for training the NLG system to produce natural language output that stylistically resembles the training data. Parameters in the specification data structure can be linked to objects in an ontology used by the NLG system to facilitate the training of the NLG system based on the detected linguistic features.

Abstract: Disclosed herein are example embodiments that describe how a narrative generation techniques can be used in connection with data visualization tools to automatically generate narratives that explain the information conveyed by a visualization of a data set. In example embodiments, new data structures and artificial intelligence (AI) logic can be used by narrative generation software to map different types of visualizations to different types of story configurations that will drive how narrative text is generated by the narrative generation software.