Methods, apparatuses, and computer program products for a natural language generation system are described herein. An example method may include receiving, originating from a client computing device, an input data object. In some embodiments, the example method may include generating, based at least in part by applying a configuration model to the input data object, an intermediate natural language configuration data object. In some embodiments, the example method may include generating, based at least in part on applying a synthesis model to the intermediate natural language configuration data object, a natural language configuration data object. In some embodiments, the example method may include configuring the natural language configuration data object for use by a large language model in generating a natural language output representative of the input data object.
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.
G10L 15/26 - Systèmes de synthèse de texte à partir de la parole
G10L 15/06 - Création de gabarits de référenceEntraînement des systèmes de reconnaissance de la parole, p. ex. adaptation aux caractéristiques de la voix du locuteur
3.
Methods, apparatuses and computer program products for providing a conversational data-to-text system
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.
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.
Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a natural language document orchestrator. In some example embodiments, a method is provided that comprises generating natural language text. The method of this embodiment may also include executing document orchestration requests from a scripted input language file.
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.
G06F 40/274 - Conversion de symboles en motsAnticipation des mots à partir des lettres déjà entrées
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
7.
Method and apparatus for updating a previously generated text
Methods, apparatuses, and computer program products are described herein that are configured to enable updating of an output text. In some example embodiments, a method is provided that comprises generating a new message for each updateable data element based on a predetermined indication. The method of this embodiment may also include determining a classification for each new message by comparing each new message with a corresponding message that describes the updateable data element. The method of this embodiment may also include generating an additional document plan tree that contains at least a portion of the new messages. The method of this embodiment may also include combining the additional document plan tree with an original document plan tree.
Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a natural language document orchestrator. In some example embodiments, a method is provided that comprises generating natural language text. The method of this embodiment may also include executing document orchestration requests from a scripted input language file.
Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a natural language realizer in the form of a lightweight multilingual realizer. In some example embodiments, a method is provided that comprises generating syntactically correct natural language. The method of this embodiment may also include at a syntax processor, propagating features among a group of words, and adding closed class function words and morphological inflections.
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.
G06F 40/40 - Traitement ou traduction du langage naturel
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
Various methods are provided for generating and annotating a graph. One example method may include determining one or more key patterns in a primary data channel, wherein the primary data channel is derived from raw input data in response to a constraint being satisfied. A method may further include determining one or more significant patterns in one or more related data channels. A method may further include generating a natural language annotation for at least one of the one or more key patterns or the one or more significant patterns. A method may further include generating a graph that is configured to be displayed in a user interface, the graph having at least a portion of the one or more key patterns, the one or more significant patterns and the natural language annotation.
G06F 3/00 - Dispositions d'entrée pour le transfert de données destinées à être traitées sous une forme maniable par le calculateurDispositions de sortie pour le transfert de données de l'unité de traitement à l'unité de sortie, p. ex. dispositions d'interface
G06T 11/60 - Édition de figures et de texteCombinaison de figures ou de texte
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06F 40/131 - Fragmentation de fichiers textes, p. ex. création de blocs de texte réutilisablesLiaison aux fragments, p. ex. par utilisation de XIncludeEspaces de nommage
G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page
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.
G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
Methods, apparatus and computer program products for interactive reports are disclosed herein. In some examples, a method for generating an output report that is an interactive report may include identifying one or more messages to be hyperlinked in an output report, wherein the one or more messages are data structures that are configured to linguistically describe at least a portion of raw input data; determining one or more interactive responses based on the one or more messages to be hyperlinked; determining one or more words in a phrase specification that are related to the one or more messages to be hyperlinked; and generating the output report, wherein the one or more words are hyperlinked in the output report such that when selected at least one of the one or more interactive responses is performed.
G06F 40/284 - Analyse lexicale, p. ex. segmentation en unités ou cooccurrence
G06F 40/289 - Analyse syntagmatique, p. ex. techniques d’états finis ou regroupement
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06T 11/20 - Traçage à partir d'éléments de base, p. ex. de lignes ou de cercles
G06T 11/60 - Édition de figures et de texteCombinaison de figures ou de texte
14.
Method and apparatus for natural language document orchestrator
Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a natural language document orchestrator. In some example embodiments, a method is provided that comprises generating natural language text. The method of this embodiment may also include executing document orchestration requests from a scripted input language file.
Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a natural language realizer in the form of a lightweight multilingual realizer. In some example embodiments, a method is provided that comprises generating syntactically correct natural language. The method of this embodiment may also include at a syntax processor, propagating features among a group of words, and adding closed class function words and morphological inflections.
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.
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
G06T 7/246 - Analyse du mouvement utilisant des procédés basés sur les caractéristiques, p. ex. le suivi des coins ou des segments
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06F 40/40 - Traitement ou traduction du langage naturel
Methods, apparatuses, and computer program products are described herein that are configured to enable validation of an alert condition. In some example embodiments, a method is provided that comprises detecting an alert condition. The method of this embodiment may also include generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to the alert condition. The method of this embodiment may also include determining a validity of the alert condition based on the set of messages that express the one or more key events, the one or more significant events, a relationship between the one or more key events and the one or more significant events, an alert context and the one or causes of the alert condition.
G08B 5/36 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique utilisant des sources de lumière visible
G08B 5/22 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
G16H 70/00 - TIC spécialement adaptées au maniement ou au traitement de références médicales
G16H 50/30 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le calcul des indices de santéTIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour l’évaluation des risques pour la santé d’une personne
G16H 50/70 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour extraire des données médicales, p. ex. pour analyser les cas antérieurs d’autres patients
G16H 50/20 - TIC spécialement adaptées au diagnostic médical, à la simulation médicale ou à l’extraction de données médicalesTIC spécialement adaptées à la détection, au suivi ou à la modélisation d’épidémies ou de pandémies pour le diagnostic assisté par ordinateur, p. ex. basé sur des systèmes experts médicaux
G08B 7/06 - Systèmes de signalisation selon plus d'un des groupes Systèmes d'appel de personnes selon plus d'un des groupes utilisant une transmission électrique
G08B 21/04 - Alarmes pour assurer la sécurité des personnes réagissant à la non-activité, p. ex. de personnes âgées
G08B 29/18 - Prévention ou correction d'erreurs de fonctionnement
G16H 15/00 - TIC spécialement adaptées aux rapports médicaux, p. ex. leur création ou leur transmission
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.
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.
G06F 17/28 - Traitement ou traduction du langage naturel
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
Methods, apparatuses, and computer program products are described herein that are configured to generate an operator text in response to an alarm that is either received from an alarm or alert system or that is self-generated based on an analysis of one or more data feeds. The method of an example embodiment may include determining whether an operator text is to be generated in response to a received alert condition by performing data analysis operations comprising: analyzing, using a processor, a primary data feed and at least one confirmatory data feed to identify one or more features; and determining based on the detection of a feature in the primary data feed or the at least one confirmatory data feed satisfies at least one predetermined constraint. The method may further include generating an output text that is displayable in a user interface that describes at least a diagnosis for the feature that satisfied that at least one predetermined constraint.
G08B 5/22 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique
A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
21.
Method and apparatus for aggregating with information generalization
Methods, apparatuses, and computer program products are described herein that are configured to perform aggregation of phrase specifications. In some example embodiments, a method is provided that comprises identifying two or more generalized phrase specifications. In some example embodiments, the two or more generalized phrase specifications contain at least one aggregatable constituent. The method of this embodiment may also include generating an aggregated phrase specification from the two or more generalized phrase specifications. In some example embodiments, the aggregated phrase specification comprises a combined noun phrase generated from the aggregatable constituents and one or more additional constituents based on a determined level of generalization.
Methods, apparatuses, and computer program products are described herein that are configured to enable validation of an alert condition. In some example embodiments, a method is provided that comprises detecting an alert condition. The method of this embodiment may also include generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to the alert condition. The method of this embodiment may also include determining a validity of the alert condition based on the set of messages that express the one or more key events, the one or more significant events, a relationship between the one or more key events and the one or more significant events, an alert context and the one or causes of the alert condition.
G08B 3/00 - Systèmes de signalisation audibleSystèmes d'appel sonore de personnes
G08B 5/00 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges
G08B 7/00 - Systèmes de signalisation selon plus d'un des groupes Systèmes d'appel de personnes selon plus d'un des groupes
G08B 5/36 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique utilisant des sources de lumière visible
G08B 23/00 - Alarmes réagissant à des conditions indésirables ou anormales, non spécifiées
G06F 17/28 - Traitement ou traduction du langage naturel
G08B 5/22 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique
G06F 17/22 - Manipulation ou enregistrement au moyen de codes, p.ex. dans une séquence de caractères de texte
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
Methods, apparatuses, and computer program product are described herein configured to transform an input model into a format that can be expressed causally in one or more phrases with a narrative representation. The methods, apparatuses, and computer program product may be configured to obtain the input model representing a data set composed of a plurality of nodes, a plurality of edges, and a plurality of paths and identify a path of maximal significance. The methods, apparatuses, and computer program product include identifying a subset of nodes from the plurality of nodes and a subset of edges from the plurality of edges associated with the path of maximal significance. The methods, apparatuses, and computer program product are configured to generate, using a natural language generation system, one or more phrases with a narrative representation describing the subset of nodes and the subset of edges associated with the path of maximal significance.
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.
G06F 17/28 - Traitement ou traduction du langage naturel
G06F 17/30 - Recherche documentaire; Structures de bases de données à cet effet
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06F 17/22 - Manipulation ou enregistrement au moyen de codes, p.ex. dans une séquence de caractères de texte
Various methods are provided for generating and annotating a graph. One example method may include determining one or more key patterns in a primary data channel, wherein the primary data channel is derived from raw input data in response to a constraint being satisfied. A method may further include determining one or more significant patterns in one or more related data channels. A method may further include generating a natural language annotation for at least one of the one or more key patterns or the one or more significant patterns. A method may further include generating a graph that is configured to be displayed in a user interface, the graph having at least a portion of the one or more key patterns, the one or more significant patterns and the natural language annotation.
G06F 3/00 - Dispositions d'entrée pour le transfert de données destinées à être traitées sous une forme maniable par le calculateurDispositions de sortie pour le transfert de données de l'unité de traitement à l'unité de sortie, p. ex. dispositions d'interface
G06T 11/60 - Édition de figures et de texteCombinaison de figures ou de texte
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06F 17/22 - Manipulation ou enregistrement au moyen de codes, p.ex. dans une séquence de caractères de texte
Methods, apparatuses, and computer program products are described herein that are configured to generate a situational analysis text. In some example embodiments, a method is provided that comprises generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to an alert condition. The method of this embodiment may also include generating a situational analysis text based on the set of messages and the relationships between them. In some example embodiments, the situational analysis text is configured to linguistically express the one or more key events, the one or more significant events, and the relationships between the one or more key events and the one or more significant events.
G06F 40/154 - Transformation en arborescence pour documents en configuration arborescente ou balisés, p. ex. langages XSLT, XSL-FO ou feuilles de style
G06F 40/169 - Annotation, p. ex. données de commentaires ou notes de bas de page
Methods, apparatuses, and computer program products are described herein that are configured to enable updating of an output text. In some example embodiments, a method is provided that comprises generating a new message for each updateable data element based on a predetermined indication. The method of this embodiment may also include determining a classification for each new message by comparing each new message with a corresponding message that describes the updateable data element. The method of this embodiment may also include generating an additional document plan tree that contains at least a portion of the new messages. The method of this embodiment may also include combining the additional document plan tree with an original document plan tree.
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 examples, a method is provided for generating a document plan. The method may include receiving a document plan template and a message store. The document plan template may include program code defining the structure and content of a document plan. The method may also include processing, by a processor, the document plan template to determine one or more messages from the message store for inclusion in the document plan. The method may also include generating the document plan. A structure and a content of the document plan may be determined at least based on the determined one or more messages and the document plan template. Apparatuses and computer readable media are also provided.
Methods, apparatuses, and computer program products are described herein that are configured to generate an operator text in response to an alarm that is either received from an alarm or alert system or that is self-generated based on an analysis of one or more data feeds. The method of an example embodiment may include determining whether an operator text is to be generated in response to a received alert condition by performing data analysis operations comprising: analyzing, using a processor, a primary data feed and at least one confirmatory data feed to identify one or more features; and determining based on the detection of a feature in the primary data feed or the at least one confirmatory data feed satisfies at least one predetermined constraint. The method may further include generating an output text that is displayable in a user interface that describes at least a diagnosis for the feature that satisfied that at least one predetermined constraint.
G06F 17/28 - Traitement ou traduction du langage naturel
G08B 5/22 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique
A61B 5/024 - Mesure du pouls ou des pulsations cardiaques
A61B 5/08 - Dispositifs de mesure pour examiner les organes respiratoires
30.
Method, apparatus, and computer program product for user-directed reporting
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.
Methods, apparatus and computer program products for interactive reports are disclosed herein. In some examples, a method for generating an output report that is an interactive report may include identifying one or more messages to be hyperlinked in an output report, wherein the one or more messages are data structures that are configured to linguistically describe at least a portion of raw input data; determining one or more interactive responses based on the one or more messages to be hyperlinked; determining one or more words in a phrase specification that are related to the one or more messages to be hyperlinked; and generating the output report, wherein the one or more words are hyperlinked in the output report such that when selected at least one of the one or more interactive responses is performed.
G06T 11/20 - Traçage à partir d'éléments de base, p. ex. de lignes ou de cercles
G06T 11/60 - Édition de figures et de texteCombinaison de figures ou de texte
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
32.
Method and apparatus for configurable microplanning
Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a configurable microplanner. In some example embodiments, a method is provided that comprises accessing a document plan containing one or more messages. The method of this embodiment may also include generating a text specification containing one or more phrase specifications that correspond to the one or more messages in the document plan. The method of this embodiment may also include applying a set of lexicalization rules to each of the one or more messages to populate the one or more phrase specifications. In some example embodiments, the set of lexicalization rules are specified using a microplanning rule specification language that is configured to hide linguistic complexities from a user. In some example embodiments, genre parameters may also be used to specify constraints that provide default behaviors for the realization process.
Methods, apparatus and computer program products for interactive reports are disclosed herein. In some examples, a method for generating an output report that is an interactive report may include identifying one or more messages to be hyperlinked in an output report, wherein the one or more messages are data structures that are configured to linguistically describe at least a portion of raw input data; determining one or more interactive responses based on the one or more messages to be hyperlinked; determining one or more words in a phrase specification that are related to the one or more messages to be hyperlinked; and generating the output report, wherein the one or more words are hyperlinked in the output report such that when selected at least one of the one or more interactive responses is performed.
G06F 15/18 - dans lesquels un programme est modifié en fonction de l'expérience acquise par le calculateur lui-même au cours d'un cycle complet; Machines capables de s'instruire (systèmes de commande adaptatifs G05B 13/00;intelligence artificielle G06N)
G06F 17/22 - Manipulation ou enregistrement au moyen de codes, p.ex. dans une séquence de caractères de texte
34.
Method and apparatus for generating a linguistic representation of raw input data
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.
H04N 21/4728 - Interface pour utilisateurs finaux pour la requête de contenu, de données additionnelles ou de servicesInterface pour utilisateurs finaux pour l'interaction avec le contenu, p. ex. pour la réservation de contenu ou la mise en place de rappels, pour la requête de notification d'événement ou pour la transformation de contenus affichés pour la sélection d'une région d'intérêt [ROI], p. ex. pour la requête d'une version de plus haute résolution d'une région sélectionnée
H04N 21/472 - Interface pour utilisateurs finaux pour la requête de contenu, de données additionnelles ou de servicesInterface pour utilisateurs finaux pour l'interaction avec le contenu, p. ex. pour la réservation de contenu ou la mise en place de rappels, pour la requête de notification d'événement ou pour la transformation de contenus affichés
G06F 40/103 - Mise en forme, c.-à-d. modification de l’apparence des documents
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.
Methods, apparatuses, and computer program products are described herein that are configured to perform aggregation of phrase specifications. In some example embodiments, a method is provided that comprises identifying two or more generalized phrase specifications. In some example embodiments, the two or more generalized phrase specifications contain at least one aggregatable constituent. The method of this embodiment may also include generating an aggregated phrase specification from the two or more generalized phrase specifications. In some example embodiments, the aggregated phrase specification comprises a combined noun phrase generated from the aggregatable constituents and one or more additional constituents based on a determined level of generalization.
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.
G06F 16/2457 - Traitement des requêtes avec adaptation aux besoins de l’utilisateur
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06F 40/40 - Traitement ou traduction du langage naturel
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.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
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.
G06F 17/28 - Traitement ou traduction du langage naturel
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
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 examples, a method is provided for generating a document plan. The method may include receiving a document plan template and a message store. The document plan template may include program code defining the structure and content of a document plan. The method may also include processing, by a processor, the document plan template to determine one or more messages from the message store for inclusion in the document plan. The method may also include generating the document plan. A structure and a content of the document plan may be determined at least based on the determined one or more messages and the document plan template. Apparatuses and computer readable media are also provided.
Various methods are provided for generating and annotating a graph. One example method may include determining one or more key patterns in a primary data channel, wherein the primary data channel is derived from raw input data in response to a constraint being satisfied. A method may further include determining one or more significant patterns in one or more related data channels. A method may further include generating a natural language annotation for at least one of the one or more key patterns or the one or more significant patterns. A method may further include generating a graph that is configured to be displayed in a user interface, the graph having at least a portion of the one or more key patterns, the one or more significant patterns and the natural language annotation.
G06F 3/00 - Dispositions d'entrée pour le transfert de données destinées à être traitées sous une forme maniable par le calculateurDispositions de sortie pour le transfert de données de l'unité de traitement à l'unité de sortie, p. ex. dispositions d'interface
G06F 3/0484 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] pour la commande de fonctions ou d’opérations spécifiques, p. ex. sélection ou transformation d’un objet, d’une image ou d’un élément de texte affiché, détermination d’une valeur de paramètre ou sélection d’une plage de valeurs
G06F 17/22 - Manipulation ou enregistrement au moyen de codes, p.ex. dans une séquence de caractères de texte
G06F 17/28 - Traitement ou traduction du langage naturel
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
42.
Method and apparatus for updating a previously generated text
Methods, apparatuses, and computer program products are described herein that are configured to enable updating of an output text. In some example embodiments, a method is provided that comprises generating a new message for each updateable data element based on a predetermined indication. The method of this embodiment may also include determining a classification for each new message by comparing each new message with a corresponding message that describes the updateable data element. The method of this embodiment may also include generating an additional document plan tree that contains at least a portion of the new messages. The method of this embodiment may also include combining the additional document plan tree with an original document plan tree.
Methods, apparatuses, and computer program products are described herein that are configured to perform referring expression generation. In some example embodiments, a method is provided that comprises identifying an intended referent to be referred to in a textual output. The method of this embodiment may also include determining that a salient ancestor of the intended referent is lower in a part-of hierarchy than a lowest common ancestor. The method of this embodiment may also include causing the salient ancestor to be set as a current target referent and a new salient ancestor to be determined for the current target referent. In some example embodiments, the default descriptor of each current target referent is added to the referring noun phrase and the part-of hierarchy is traversed via salient ancestor links until the new salient ancestor of the current target referent is higher than or equal to the lowest common ancestor.
Methods, apparatuses, and computer program products are described herein that are configured to generate an operator text in response to an alarm that is either received from an alarm or alert system or that is self-generated based on an analysis of one or more data feeds. The method of an example embodiment may include determining whether an operator text is to be generated in response to a received alert condition by performing data analysis operations comprising: analyzing, using a processor, a primary data feed and at least one confirmatory data feed to identify one or more features; and determining based on the detection of a feature in the primary data feed or the at least one confirmatory data feed satisfies at least one predetermined constraint. The method may further include generating an output text that is displayable in a user interface that describes at least a diagnosis for the feature that satisfied that at least one predetermined constraint.
Methods, apparatuses, and computer program products are described herein that are configured to enable validation of an alert condition. In some example embodiments, a method is provided that comprises detecting an alert condition. The method of this embodiment may also include generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to the alert condition. The method of this embodiment may also include determining a validity of the alert condition based on the set of messages that express the one or more key events, the one or more significant events, a relationship between the one or more key events and the one or more significant events, an alert context and the one or causes of the alert condition.
G08B 3/00 - Systèmes de signalisation audibleSystèmes d'appel sonore de personnes
G08B 5/00 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges
G08B 7/00 - Systèmes de signalisation selon plus d'un des groupes Systèmes d'appel de personnes selon plus d'un des groupes
G08B 5/36 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique utilisant des sources de lumière visible
G08B 5/22 - Systèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électriqueSystèmes de signalisation optique, p. ex. systèmes d'appel de personnes, indication à distance de l'occupation de sièges utilisant une transmission électromécanique
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
Methods, apparatuses, and computer program products are described herein that are configured to generate a situational analysis text. In some example embodiments, a method is provided that comprises generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to an alert condition. The method of this embodiment may also include generating a situational analysis text based on the set of messages and the relationships between them. In some example embodiments, the situational analysis text is configured to linguistically express the one or more key events, the one or more significant events, and the relationships between the one or more key events and the one or more significant events.
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.
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.
G06K 9/00 - Méthodes ou dispositions pour la lecture ou la reconnaissance de caractères imprimés ou écrits ou pour la reconnaissance de formes, p.ex. d'empreintes digitales
G06K 9/62 - Méthodes ou dispositions pour la reconnaissance utilisant des moyens électroniques
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.
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.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06F 17/20 - Manipulation de données en langage naturel
51.
METHOD AND APPARATUS FOR EXPRESSING TIME IN AN OUTPUT TEXT
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.
G06Q 10/06 - Ressources, gestion de tâches, des ressources humaines ou de projetsPlanification d’entreprise ou d’organisationModélisation d’entreprise ou d’organisation
G06F 17/20 - Manipulation de données en langage naturel
52.
METHOD AND APPARATUS FOR AGGREGATING WITH INFORMATION GENERALIZATION
Methods, apparatuses, and computer program products are described herein that are configured to perform aggregation of phrase specifications. In some example embodiments, a method is provided that comprises identifying two or more generalized phrase specifications. In some example embodiments, the two or more generalized phrase specifications contain at least one aggregatable constituent. The method of this embodiment may also include generating an aggregated phrase specification from the two or more generalized phrase specifications. In some example embodiments, the aggregated phrase specification comprises a combined noun phrase generated from the aggregatable constituents and one or more additional constituents based on a determined level of generalization.
Methods, apparatuses, and computer program products are described herein that are configured to enable validation of an alert condition. In some example embodiments, a method is provided that comprises detecting an alert condition. The method of this embodiment may also include generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to the alert condition. The method of this embodiment may also include determining a validity of the alert condition based on the set of messages that express the one or more key events, the one or more significant events, a relationship between the one or more key events and the one or more significant events, an alert context and the one or causes of the alert condition.
Methods, apparatuses, and computer program products are described herein that are configured to generate a situational analysis text. In some example embodiments, a method is provided that comprises generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to an alert condition. The method of this embodiment may also include generating a situational analysis text based on the set of messages and the relationships between them. In some example embodiments, the situational analysis text is configured to linguistically express the one or more key events, the one or more significant events, and the relationships between the one or more key events and the one or more significant events.
G06F 17/28 - Traitement ou traduction du langage naturel
A61B 5/02 - Détection, mesure ou enregistrement en vue de l'évaluation du système cardio-vasculaire, p. ex. mesure du pouls, du rythme cardiaque, de la pression sanguine ou du débit sanguin
55.
TEXT GENERATION IN RESPONSE TO ALERTS, USING TREE STRUCTURES
Methods, apparatuses, and computer program products are described herein that are configured to generate a situational analysis text. In some example embodiments, a method is provided that comprises generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to an alert condition. The method of this embodiment may also include generating a situational analysis text based on the set of messages and the relationships between them. In some example embodiments, the situational analysis text is configured to linguistically express the one or more key events, the one or more significant events, and the relationships between the one or more key events and the one or more significant events.
Various methods are provided for generating and annotating a graph. One example method may include determining one or more key patterns in a primary data channel, wherein the primary data channel is derived from raw input data in response to a constraint being satisfied. A method may further include determining one or more significant patterns in one or more related data channels. A method may further include generating a natural language annotation for at least one of the one or more key patterns or the one or more significant patterns. A method may further include generating a graph that is configured to be displayed in a user interface, the graph having at least a portion of the one or more key patterns, the one or more significant patterns and the natural language annotation.
Methods, apparatuses, and computer program products are described herein that are configured to be embodied as a configurable microplanner. In some example embodiments, a method is provided that comprises accessing a document plan containing one or more messages. The method of this embodiment may also include generating a text specification containing one or more phrase specifications that correspond to the one or more messages in the document plan. The method of this embodiment may also include applying a set of lexicalization rules to each of the one or more messages to populate the one or more phrase specifications. In some example embodiments, the set of lexicalization rules are specified using a microplanning rule specification language that is configured to hide linguistic complexities from a user. In some example embodiments, genre parameters may also be used to specify constraints that provide default behaviors for the realization process.
Methods, apparatuses, and computer program products are described herein that are configured to perform referring expression generation. In some example embodiments, a method is provided that comprises identifying an intended referent to be referred to in a textual output. The method of this embodiment may also include determining that a salient ancestor of the intended referent is lower in a part-of hierarchy than a lowest common ancestor. The method of this embodiment may also include causing the salient ancestor to be set as a current target referent and a new salient ancestor to be determined for the current target referent. In some example embodiments, the default descriptor of each current target referent is added to the referring noun phrase and the part-of hierarchy is traversed via salient ancestor links until the new salient ancestor of the current target referent is higher than or equal to the lowest common ancestor.
Methods, apparatuses, and computer program products are described herein that are configured to enable updating of an output text. In some example embodiments, a method is provided that comprises generating a new message for each updateable data element based on a predetermined indication. The method of this embodiment may also include determining a classification for each new message by comparing each new message with a corresponding message that describes the updateable data element. The method of this embodiment may also include generating an additional document plan tree that contains at least a portion of the new messages. The method of this embodiment may also include combining the additional document plan tree with an original document plan tree.
Methods, apparatuses, and computer program products are described herein that are configured to enable validation of an alert condition. In some example embodiments, a method is provided that comprises detecting an alert condition. The method of this embodiment may also include generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to the alert condition. The method of this embodiment may also include determining a validity of the alert condition based on the set of messages that express the one or more key events, the one or more significant events, a relationship between the one or more key events and the one or more significant events, an alert context and the one or causes of the alert condition.
brevets
