Abstract: Systems and methods are described to suggest new content to a writer. An intelligent tool is initiated to obtain content of a document that is being written by an author. The intelligent tool then determines a topic of the content of the document, and identifies one or more predictive topics related to the determined topic. The one or more predictive topics are different from the topic. The intelligent tool then performs a content search based on the topic and the one or more predictive topics, and provides results from the content search to the author.

Abstract: Ad hoc contact data capture includes establishing a connection to a software application. A browser renders a source page from a source server. An extension of the browser receives a page event from the browser after rendering the page, the page event identifying a selected location of the source page. Ad hoc contact data capture further includes identifying source data from the source page after receiving the page event, calculating a distance between a contact element of the source page and the selected location to identify the source data, and populating the source data into the software application.

Abstract: Ad hoc contact data capture includes establishing a connection to a software application. A browser renders a source page from a source server. An extension of the browser receives a page event from the browser after rendering the page, the page event identifying a selected location of the source page. Ad hoc contact data capture further includes identifying source data from the source page after receiving the page event, calculating a distance between a contact element of the source page and the selected location to identify the source data, and populating the source data into the software application.

Abstract: Example aspects of the present disclosure are directed to systems and methods that employ a machine-learned opinion classification model to classify portions (e.g., sentences, phrases, paragraphs, etc.) of documents (e.g., news articles, web pages, etc.) as being opinions or not opinions. Further, in some implementations, portions classified as opinions can be considered for inclusion in an informational display. For example, document portions can be ranked according to importance and selected for inclusion in an informational display based on their ranking. Additionally or alternatively, for systems which access and consider multiple documents, the portions of a document that are classified as opinion can be compared to similarly-classified portions of other documents to perform document clustering, to ensure diversity within a presentation, and/or other tasks.

Abstract: Systems and methods are described to notify an author that suggested content is available. An author-assistance tool is instantiated with a document processor to perform research to suggest content for a document being edited at the document processor. A user interaction relating to a document is received via the document processor, and the author-assistance tool generates suggested content for the document when the author has intent for content suggestion or the document has a document type that is on a list of document types for which a content suggestion should be made. The author-assistance tool then determines that the suggested content meets a pre-determined quality threshold, and generates, via the user interface of the document processor, a notification to the author that the suggested content is available.

Abstract: Rights holders such as copyright owners want to keep track of copying of printed materials owned by them. That information can be used to check if the person copying has a license. Alternatively, the information can be used for billing. In some countries, an intermediary such as a copyright agency may facilitate the tracking of such copying and the compensation of the rights holders. This system automates the process by monitoring copiers, matching copied images to materials owned by rights holders, and recording such copying actions including the identifier of the copier, the copying person, the number of copies, and the matched materials. Alternatively, the system may prevent the copying if there is no permission by the rights holders.

Abstract: Example aspects of the present disclosure are directed to systems and methods that employ a machine-learned opinion classification model to classify portions (e.g., sentences, phrases, paragraphs, etc.) of documents (e.g., news articles, web pages, etc.) as being opinions or not opinions. Further, in some implementations, portions classified as opinions can be considered for inclusion in an informational display. For example, document portions can be ranked according to importance and selected for inclusion in an informational display based on their ranking. Additionally or alternatively, for systems which access and consider multiple documents, the portions of a document that are classified as opinion can be compared to similarly-classified portions of other documents to perform document clustering, to ensure diversity within a presentation, and/or other tasks.

Abstract: Rights holders such as copyright owners want to keep track of copying of printed materials owned by them. That information can be used to check if the person copying has a license. Alternatively, the information can be used for billing. In some countries, an intermediary such as a copyright agency may facilitate the tracking of such copying and the compensation of the rights holders. This system automates the process by monitoring copiers, matching copied images to materials owned by rights holders, and recording such copying actions including the identifier of the copier, the copying person, the number of copies, and the matched materials. Alternatively, the system may prevent the copying if there is no permission by the rights holders.

Abstract: Systems and methods are described to notify an author that suggested content is available. An author-assistance tool is instantiated with a document processor to perform research to suggest content for a document being edited at the document processor. A user interaction relating to a document is received via the document processor, and the author-assistance tool generates suggested content for the document when the author has intent for content suggestion or the document has a document type that is on a list of document types for which a content suggestion should be made. The author-assistance tool then determines that the suggested content meets a pre-determined quality threshold, and generates, via the user interface of the document processor, a notification to the author that the suggested content is available.

Abstract: Systems and methods are described to suggest new content to a writer. An intelligent tool is initiated to obtain content of a document that is being written by an author. The intelligent tool then determines a topic of the content of the document, and identifies one or more predictive topics related to the determined topic. The one or more predictive topics are different from the topic. The intelligent tool then performs a content search based on the topic and the one or more predictive topics, and provides results from the content search to the author.

Abstract: A content item is requested by a user via the user's computing device. In response, data, such as a set of facts, related to the requested content item is identified and served with the requested content item for presentation with the content item at the user's computer device. The related data can comprise facts related to the content item, and the related data can be presented as a graphic, such as part of a multi-dimensional graph, in connection with the presentation of the content. The related data can be retrieved from a facts database using search criteria formed using tags obtained for the requested content item.

Abstract: Techniques are provided for use in an auction in which selected content items, or advertisements, of content providers, or advertisers, are selected and served, and in which, for an item served in response to a serving opportunity, contingent upon occurrence of a specified user action, an associated provider's account is charged a first sum and an associated publisher's account is credited a second sum. Performance of particular content items may be explored, such as ones for which little or no historical performance information may be available. Content item selection may be based at least in part on an objective of acquiring learning information that can be used in prediction of future performance of the content item. The associated provider's account may be charged a sum that reflects a learning value component, but the associated publisher's account may be credited a sum that does not reflect a learning value component.

Abstract: A content item is requested by a user via the user's computing device. In response, data, such as a set of facts, related to the requested content item is identified and served with the requested content item for presentation with the content item at the user's computer device. The related data can comprise facts related to the content item, and the related data can be presented as a graphic, such as part of a multi-dimensional graph, in connection with the presentation of the content. The related data can be retrieved from a facts database using search criteria formed using tags obtained for the requested content item.

Abstract: Embodiments are directed towards employing an admission controller (AC) network device to coordinate voluntary requests by traffic source devices (TSDs) to transmit traffic over a network. The TSDs submit voluntary requests to transmit network traffic during an allocated time frame to the AC. The AC monitors historical network traffic data and, based on various allocation policies, provides permission to at least some of the TSDs in the form of a nonexclusive lease of bandwidth with a rate cap for an allocated time frame. The TSDs receiving the lease voluntarily agree to transmit traffic not exceeding the rate cap for the time frame of the lease. TSDs that receive a zero rate cap voluntarily agree not to transmit. However, urgent network traffic bypasses the AC. The allocation policies used to determine the rate cap and number of permitted senders include a reactive approach, a predictive approach, and a predictive-reactive approach.

Abstract: Embodiments are directed towards employing an admission controller (AC) network device to coordinate voluntary requests by traffic source devices (TSDs) to transmit traffic over a network. The TSDs submit voluntary requests to transmit network traffic during an allocated time frame to the AC. The AC monitors historical network traffic data and, based on various allocation policies, provides permission to at least some of the TSDs in the form of a nonexclusive lease of bandwidth with a rate cap for an allocated time frame. The TSDs receiving the lease voluntarily agree to transmit traffic not exceeding the rate cap for the time frame of the lease. TSDs that receive a zero rate cap voluntarily agree not to transmit. However, urgent network traffic bypasses the AC. The allocation policies used to determine the rate cap and number of permitted senders include a reactive approach, a predictive approach, and a predictive-reactive approach.

Abstract: A contextual advertising system selects online advertisements for display on a network location. The system may transform page content of a page received in a platform over a network into a textual representation. In addition, the system may transform received site content of a site into a site signature. The site includes the page. The system then may correct the textual representation utilizing the site signature to produce modified textual representation. The system may utilize the modified textual representation to select an online advertisement. Considering a page in the context of the entire website to which it belongs leads to better understanding and interpretation of the page topic(s) and thus yields more accurate ad matching.

Abstract: A method, computer program product and system are provided. The method includes the steps of: providing output text and a confidence value and displaying the output text. The output text includes text in a second language produced from machine translation performed on input text in a first language. The confidence value corresponds to an indication of reliability of the output text. The display of the output text includes a display attribute corresponding to the confidence value of the output text.

Abstract: The present invention introduces methods for allocating: overlapping inventory. In the system of the present invention overlapping inventory problems are reformulated as a network transport problem. Specifically, different inventory types are represented as inventory network nodes. Similarly, corresponding inventory requests are also represented as request network nodes. The different inventory network nodes corresponding to inventory that can satisfy inventory requests are coupled to the request network nodes associated with those inventory requests. A source node is then coupled to the inventory network nodes and a destination node is coupled to the request network nodes. A flow limit of the available inventory is assigned to the connections between the source node and the inventory network nodes. Finally, inventory requests that must be satisfied are represented as flow minimums between the request network nodes and the destination network node.

Abstract: A method, computer program product and system are provided. The method includes the steps of: providing output text and a confidence value and displaying the output text. The output text includes text in a second language produced from machine translation performed on input text in a first language. The confidence value corresponds to an indication of reliability of the output text. The display of the output text includes a display attribute corresponding to the confidence value of the output text.

Abstract: A system for conversant interaction includes a recognizer for receiving and processing input information and outputting a recognized representation of the input information. A dialog manager is coupled to the recognizer for receiving the recognized representation of the input information, the dialog manager having task-oriented forms for associating user input information therewith, the dialog manager being capable of selecting an applicable form from the task-oriented forms responsive to the input information by scoring the forms relative to each other. A synthesizer is employed for converting a response generated by the dialog manager to output the response. A program storage device and method are also provided.