Abstract: Methods, systems, and techniques for providing visual expertise to objectively measure, evaluate, and visualize aesthetic change are provided. Example embodiments provide an Aesthetic Delta Measurement System (“ADMS”), which enables users to objectively measure and visualize aesthetic health and wellness and treatment outcomes and to continuously supplement a knowledge repository of objective aesthetic data based upon a combination of automated machine learning and surveyed human input data. The ADMS provides a labeling platform for labeling aesthetic health and wellness over large populations of individuals and a personal analysis application for viewing an individuals aesthetic changes over time. The ADMS provides labeling of images using guides with corresponding discrete scalar values or using pairwise comparison techniques.

Abstract: In some embodiments, the present invention provides an exemplary system that includes a mechanism configured to create by a digital mailing services provider, DMSP, a recipient-specific handling information indicia and provide said recipient-specific handling information indicia to a recipient; a mechanism configured to allow the recipient to provide said handling information indicia in delivery address C/O line, on a mail item, thereby indicating to said service provider their desired handling route for the mail item so that a paper mail recipient to receive improved transmission of correspondence from said service provider via both paper and electronic channels solely via including said handling information indicia contained in the delivery address C/O line of the recipient's delivery address on the mail item.

Abstract: In some embodiments, the present invention provides an exemplary system that includes a mechanism configured to create by a digital mailing services provider, DMSP, a recipient-specific handling information indicia and provide said recipient-specific handling information indicia to a recipient; a mechanism configured to allow the recipient to provide said handling information indicia in delivery address C/O line, on a mail item, thereby indicating to said service provider their desired handling route for the mail item so that a paper mail recipient to receive improved transmission of correspondence from said service provider via both paper and electronic channels solely via including said handling information indicia contained in the delivery address C/O line of the recipient's delivery address on the mail item.

Abstract: In some embodiments, the present invention provides an exemplary system that includes a mechanism configured to create by a digital mailing services provider, DMSP, a recipient-specific handling information indicia and provide said recipient-specific handling information indicia to a recipient; a mechanism configured to allow the recipient to provide said handling information indicia in delivery address C/O line, on a mail item, thereby indicating to said service provider their desired handling route for the mail item so that a paper mail recipient to receive improved transmission of correspondence from said service provider via both paper and electronic channels solely via including said handling information indicia contained in the delivery address C/O line of the recipient's delivery address on the mail item.

Abstract: Embodiments are directed to assessing performances of physical activities. Assessment engines may collect performance content that includes information associated with performances of activities. The assessment engines may employ classifiers to classify the performance content to determine occurrences of features of the performance content and classify assessment content to determine scores that are associated with features included in the performances. The assessment engines may provide correlation values associated with the performances based on historical performance content, assessment content, or scores. The assessment engine may provide a report that includes a localized evaluation of the performances based on the correlation values, performance content, assessment content, and scores. In some cases, the performance content may include videos of the performances.

Abstract: In some embodiments, the present invention provides an exemplary system that includes a mechanism configured to create by a digital mailing services provider, DMSP, a recipient-specific handling information indicia and provide said recipient-specific handling information indicia to a recipient; a mechanism configured to allow the recipient to provide said handling information indicia in delivery address C/O line, on a mail item, thereby indicating to said service provider their desired handling route for the mail item so that a paper mail recipient to receive improved transmission of correspondence from said service provider via both paper and electronic channels solely via including said handling information indicia contained in the delivery address C/O line of the recipient's delivery address on the mail item.

Abstract: Embodiments are directed to assessing performances of physical activities. Assessment engines may collect performance content that includes information associated with performances of activities. The assessment engines may employ classifiers to classify the performance content to determine occurrences of features of the performance content and classify assessment content to determine scores that are associated with features included in the performances. The assessment engines may provide correlation values associated with the performances based on historical performance content, assessment content, or scores. The assessment engine may provide a report that includes a localized evaluation of the performances based on the correlation values, performance content, assessment content, and scores. In some cases, the performance content may include videos of the performances.

Abstract: Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.

Abstract: Embodiments are directed to assessing performances of physical activities. Assessment engines may collect performance content that includes information associated with performances of activities. The assessment engines may employ classifiers to classify the performance content to determine occurrences of features of the performance content and classify assessment content to determine scores that are associated with features included in the performances. The assessment engines may provide correlation values associated with the performances based on historical performance content, assessment content, or scores. The assessment engine may provide a report that includes a localized evaluation of the performances based on the correlation values, performance content, assessment content, and scores. In some cases, the performance content may include videos of the performances.

Abstract: Methods, systems, and techniques for creating, managing, and using query templates to facilitate the execution of relationship queries are provided. Example embodiments provide a Query Template System “QTS”, which enables users, a system, program code, or other people or code to define search tips (i.e., predefined searches) through the generation of query templates that can be used by other users or code, to perform relationship searches using IQL. In one embodiment, the QTS includes a QT editor, a QT dispatcher, a QT creation and index management system, and one or more QT data repositories and indexes. These components cooperate to create and maintain query templates and to search for and retrieve matching query templates. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.

Abstract: Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.

Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

Abstract: Methods, techniques, and systems for using natural language processing to recommend related content to an associated text segment or document. Example embodiments provide a NLP-based content recommender (“NCR”) which uses NLP-based search techniques, potentially in conjunction with context or other related information, to locate and provide content related to entities that are recognized in the associated material. NCRs may be embedded as widgets, for example on Web pages to assist users in their perusal and search for information, provided by means of browser plug-ins or other application plug-ins, provided in libraries or in standalone environments, or otherwise integrated into other code, programs, or devices. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.