Abstract: One or more computing devices, systems, and/or methods for entity disambiguation are provided. For example, a document may be analyzed to identify a first mention and a second mention. One or more techniques may be used to select and link a candidate entity, from a first set of candidate entities, to the first mention and select and link a candidate entity, from a second set of candidate entities, to the second mention.

Abstract: Disclosed is a system and method for analyzing, by a server computer, closed captioning text associated with a media program being experienced by a user having a client device. The server computer obtains, based on the analyzing, a subject matter of a portion of the media program from the closed captioning text. The server computer constructs a query associated with the determined subject matter and submits the query to a computer network as a search query. The server computer receives, in response to the submitting of the query, content relating to the subject matter and measures an elapsed time period between the receiving of the content and the obtaining of the subject matter. If the elapsed time period is less than a predetermined period of time, the server computer communicates, to the client device, information related to the content.

Abstract: The present teaching relates to entity linking. In one example, a text string is received. The text string is segmented to obtain a segmentation with a set of one or more segments of the text string. A set of entities are identified, with respect to the one or more segments, from a plurality of entities as linked to the one or more segments. The identifying is in accordance with a probabilistic model based on surface form information associated with the plurality of entities.

Abstract: One or more computing devices, systems, and/or methods for entity disambiguation are provided. For example, a document may be analyzed to identify a first mention and a second mention. One or more techniques may be used to select and link a candidate entity, from a first set of candidate entities, to the first mention and select and link a candidate entity, from a second set of candidate entities, to the second mention.

Abstract: Disclosed is a system and method for analyzing, by a server computer, closed captioning text associated with a media program being experienced by a user having a client device. The server computer obtains, based on the analyzing, a subject matter of a portion of the media program from the closed captioning text. The server computer constructs a query associated with the determined subject matter and submits the query to a computer network as a search query. The server computer receives, in response to the submitting of the query, content relating to the subject matter and measures an elapsed time period between the receiving of the content and the obtaining of the subject matter. If the elapsed time period is less than a predetermined period of time, the server computer communicates, to the client device, information related to the content.

Abstract: Disclosed is a system and method for analyzing, by a server computer, closed captioning text associated with a media program being experienced by a user having a client device. The server computer obtains, based on the analyzing, a subject matter of a portion of the media program from the closed captioning text. The server computer constructs a query associated with the determined subject matter and submits the query to a computer network as a search query. The server computer receives, in response to the submitting of the query, content relating to the subject matter and measures an elapsed time period between the receiving of the content and the obtaining of the subject matter. If the elapsed time period is less than a predetermined period of time, the server computer communicates, to the client device, information related to the content.

Abstract: Briefly, embodiments of methods and/or systems of providing relevant and diverse recommendations are disclosed. For one embodiment, as an example, a system may extract structured and/or semi-structured parameters from web resources obtained from interaction logs comprising records of browsing sessions. Content from extracted parameters may be compared, using an ontology, to find relationships among web resources and query resources.

Abstract: The present teaching relates to entity linking. In one example, a text string is received. The text string is segmented to obtain a segmentation with a set of one or more segments of the text string. A set of entities are identified, with respect to the one or more segments, from a plurality of entities as linked to the one or more segments. The identifying is in accordance with a probabilistic model based on surface form information associated with the plurality of entities.

Abstract: Briefly, embodiments of methods and/or systems of providing relevant and diverse recommendations are disclosed. For one embodiment, as an example, a system may extract structured and/or semi-structured parameters from web resources obtained from interaction logs comprising records of browsing sessions. Content from extracted parameters may be compared, using an ontology, to find relationships among web resources and query resources.

Abstract: Methods and systems are provided that may be utilized to rank related news predictions and to provide one or more predictions to a user. In a particular implementation, one or more digital signals representing a query may be generated at least partially in response to an article being accessed by a user. One or more digital signals representing one or more predictions comprising one or more sentence portions having one or more references to one or more future dates may be obtained based at least in part on a comparison of the one or more digital signals representing the query with one or more digital signals representing a prediction index.

Abstract: Briefly, embodiments disclosed herein may relate to Web crawling, and more particularly may relate to Web crawling for structured content, for example.

Abstract: Disclosed is a system and method for analyzing, by a server computer, closed captioning text associated with a media program being experienced by a user having a client device. The server computer obtains, based on the analyzing, a subject matter of a portion of the media program from the closed captioning text. The server computer constructs a query associated with the determined subject matter and submits the query to a computer network as a search query. The server computer receives, in response to the submitting of the query, content relating to the subject matter and measures an elapsed time period between the receiving of the content and the obtaining of the subject matter. If the elapsed time period is less than a predetermined period of time, the server computer communicates, to the client device, information related to the content.

Abstract: A user search for quotes attributable to people or information regarding the quotes is fulfilled by providing the relevant information from a quote index. The quote index is built from a data store comprising articles that include quotes given by people. Quotes are extracted from the articles along with the relevant attributes such as the keywords, topics and entities. The extracted keywords, topics and entities are indexed with unique identifiers. A quote index is built by storing the quotes along with the keywords, topics and related entities. Quotes or information associated with the quotes based on various criteria is retrieved and presented in different formats.

Abstract: Editorial curation of search results includes: receiving a search results page rendered in response to a search query; receiving user edits to the search results page, the user edits including changes to objects in the search results page; and applying the user edits to the search results page.

Abstract: Methods and systems are provided that may be utilized to rank related news predictions and to provide one or more predictions to a user.

Abstract: A user search for quotes attributable to people or information regarding the quotes is fulfilled by providing the relevant information from a quote index. The quote index is built from a data store comprising articles that include quotes given by people. Quotes are extracted from the articles along with the relevant attributes such as the keywords, topics and entities. The extracted keywords, topics and entities are indexed with unique identifiers. A quote index is built by storing the quotes along with the keywords, topics and related entities. Quotes or information associated with the quotes based on various criteria is retrieved and presented in different formats.

Abstract: Editorial curation of search results includes: receiving a search results page rendered in response to a search query; receiving user edits to the search results page, the user edits including changes to objects in the search results page; and applying the user edits to the search results page.