Abstract: There is provided a method and server for estimating an uncertainty parameter of a sequence of computer-implemented models comprising at least one machine learning algorithm (MLA). A set of labelled digital documents is received, which is to be processed by the sequence of models. For a given model of the sequence of models, at least one of a respective set of input features, a respective set of model-specific features and a respective set of output features are received. The set of predictions output by the sequence of models is received. A second MLA is trained to estimate uncertainty of the sequence of models based on the set of labelled digital documents, and the at least one of the respective set of input features, the respective set of model-specific features, the respective set of output features, and the set of predictions.

Abstract: An information processing apparatus includes a processor configured to extract, from a document, words of plural categories, select one extracted word from each of the plural categories, generate a first character string by arranging the selected words in accordance with a rule, wherein the rule determines positions of the selected words within the first character string based on the categories of the selected words, in response to reception of an operation of changing a first word in the first character string from a user, present to the user one or more candidate words from the category of the first portion of the first character string, generate a second character string by replacing the first word in the first character string with a user-selected word selected by the user from among the one or more candidate words, and store the second character string in a memory in association with the document.

Abstract: In some implementations, documents can be presented on a display of a computing device based on a context of the computing device. The context can include a current time and/or current location associated with the computing device. The documents can be presented based on a time and/or location associated with the documents. Documents can be downloaded and shared between devices. Documents can be dynamically updated based on document vendor provided information and/or other network based resources. In some implementations, the various graphical interfaces described herein provide access to a variety of document types in an organized and efficient manner.

Abstract: This application discloses a method, an apparatus and an electronic device for error correction of numerical contents in a text, and relates to a technology field of artificial intelligence such as natural language processing and deep learning. The implementation method is: obtaining a target text to be processed; determining original numerical contents included in the target text; determining target types corresponding to the original numerical contents; and performing error correction on each original numerical content according to an error correction manner corresponding to each target type. Therefore, the error correction of numerical contents is realized according to types of the numerical contents, which is not only limited to the error correction of the numerical format, but also the logical error correction of the numerical content, so as to improve the numerical error correction capability and thereby improving the recall rate of detection and correction of wrong values.

Abstract: According to one embodiment, a support system includes an editor. The editor displays a first editing region and a second editing region. A plurality of first items is arrangeable in the first editing region. A plurality of second items is arrangeable in the second editing region. A corresponding item is arrangeable in the second editing region. The corresponding item is associated with a first selected item. The first selected item is one of the plurality of first items. A first subordinate item is subordinateable to the selected first item. A second subordinate item is subordinateable to the corresponding item. The second subordinate item is different from the first subordinate item.

Abstract: A system and method for deconstructing a document is described herein, where the method is an improvement over existing document deconstruction techniques. These improvements increase speed and accuracy by rapidly identifying the vendor in an invoice by splitting the invoice into three regions and performing a perceptual image hashing on each section. Then a hamming distance is used to compare the hash for each section with the hashes of known invoices to identify the vendor who sent the invoice.

Abstract: A process, and corresponding system for performing the process, is described for editing and representing property values for a digital map. The process retrieves electronic map data from a style sheet corresponding to a vector map tile set for a digital map and displays map layer styles in a property editor panel, where each map style layer references a portion of the data and one or more visual style rules to apply to the portion. The process also displays a visual map with the map layer styles applied. Upon receiving selection of one or more map style layers from the plurality of map style layers, the process displays style layer properties and values corresponding to each. The process renders in the visual map only the selected one or more style layers marked as visible. As edits are made in the property editor panel, the visual map is updated to reflect the changes.

Abstract: Examples of a textual entailment generation system are provided. The system obtains a query from a user and implements an artificial intelligence component to identify a premise, a word index, and a premise index associated with the query. The system may implement a first cognitive learning operation to determine a plurality of hypothesis and a hypothesis index corresponding to the premise. The system may generate a confidence index for each of the plurality of hypothesis based on a comparison of the hypothesis index with the premise index. The system may determine an entailment value, a contradiction value, and a neutral entailment value based on the confidence index for each of the plurality of hypothesis. The system may generate an entailment result relevant for resolving the query comprising the plurality of hypothesis along with the corresponding entailed output index.

Abstract: System and method of moving selected content is disclosed. In response to detecting a first portion of an input that activates a move operation for selected first content, a copy of at least a portion of the first content is displayed in a container object, and the container object is moved from a first placement location to a second placement location relative to a characteristic location of the contact(s) on the touch-screen display. After the movement from the first placement location to the second placement location relative to the characteristic location of the one or more contacts, the container object moves in accordance with movement of the one or more contacts while the container object is maintained at the second placement location relative to the characteristic location of the one or more contacts as the one or more contacts move across the touch-screen display.

Abstract: Systems and methods for automated local story generation and curation are described. In one example embodiment, a server computer receives content from client devices, and processes the content to identify content characteristics. Stories are then generated based on the characteristics of the received content, and the stories are communicated to client devices. In certain embodiments, selection at a client device of an individual piece of content within a story may further be used by the system to provide the client device with a sub-story that includes pieces of content sharing content characteristics with the characteristics of the selected image or video.

Abstract: An information processing system includes at least one information processing apparatus that communicate with a first service for supporting to create a home page and a second service for creating an analysis result by analyzing information related to browsing of the home page via a network, a home page information reception unit that receives home page configuration information concerning a configuration of the home page from the first service, an analysis result reception unit that receives an analysis result from the second service, an improvement information creation unit that creates improvement information for improving the home page based on the home page configuration information and the analysis result, and a communication unit that sends the improvement information created by the improvement information creation unit to a user terminal operated by a user.

Abstract: A technique for automatically determining new font sizes includes receiving information indicating a layout change for a document. The document includes a text frame that includes text content in a first font size. The text content covers a particular percentage of the text frame, and the layout change causes a change in the size of the text frame to a resized text frame. The technique includes determining a second font size for the text content in the resized text frame. A percentage of the resized text frame covered by the text content in the second font size is substantially similar to the particular percentage of the document. The method includes resizing the size of the text content from the first font size to the second font size and outputting a document with the resized text frame with the text content in the second font size.

Abstract: A computer-implemented method, computer program product, and computing system for rendering an annotatable image within an image viewer. An indication of an intent to annotate the annotatable image is received from a user. A meme generation interface is rendered with respect to the annotatable image. Meme annotation criteria is received from the user via the meme generation interface. The meme annotation criteria includes one or more of: a meme message, a meme position indicator, and a font type identifier. The annotatable image is modified based, at least in part, upon the meme annotation criteria, thus generating an annotated image. The annotated image is published to a meme publication website.

Abstract: Systems and methods for automated local story generation and curation are described. In one example embodiment, a server computer receives content from client devices, and processes the content to identify content characteristics. Stories are then generated based on the characteristics of the received content, and the stories are communicated to client devices. In certain embodiments, selection at a client device of an individual piece of content within a story may further be used by the system to provide the client device with a sub-story that includes pieces of content sharing content characteristics with the characteristics of the selected image or video.

Abstract: A semantic document generation system is described. The semantic document is composed of document details, people and meta-data. The semantic document is self-aware of the information it contains. The semantic document's structure and terms are governed by legal, logical and party related rules. A semantic contract can be created from a semantic document generation system. The semantic document generation system receives an indication of a type of a document to be generated and plurality of terms for the document from a plurality of sources. The terms are converted into triples. A plurality of rules governing the terms of the document is applied to the triples to generate a knowledge graph and determine whether terms from the different parties are compatible. The terms are determined to be compatible in a case where the plurality of rules governing terms of the document is satisfied.

Abstract: A web experience augmentation system predicts, during a web browsing session of a user, augmentation data that the user is likely to want to view during the web browsing session. This prediction is based on both local content preferences for the user and global content preferences. The local content preferences for the user refer to an indication of the webpages accessed during the current web browsing session of the user. The global content preferences refer to analytics for webpages on a website obtained over an extended period of time that extends prior to the web browsing session of the user. The web experience augmentation system also modifies a webpage to which the user navigates to include the predicted augmentation data.

Abstract: A method including receiving an indication for a digital alert associated with a specific action for a user account of a user; generating and outputting a first message comprising a web page link; receiving an indication of a request to access the web page link by the user device; responsive to receiving the indication of the request to access the web page link, accessing, based on the indication for a digital alert, user-specific information associated with the user account from the at least one third-party device; and generating, based on the indication for a digital alert and the user-specific information, a customized user interaction-specific web page comprising the user-specific information associated with the user account and at least one user input field.

Abstract: A method modifies and utilizes a text document based on an audio file that has captured audio proceedings relevant to the text document. One or more processors and/or a user segment the text document into topic-based text segments. Processor(s) receive an audio file that is relevant to the text document, convert the audio file into text, and match a specific topic-based text segment from the topic-based text segments to a specific topic-based audio segment from the topic-based audio segments. In response to identifying a difference between content in the specific topic-based text segment and content in the specific topic-based audio segment, processor(s) and/or the user update the specific topic-based text segment with the content in the specific topic-based audio segment to create an updated version of the text document.

Abstract: Methods and apparatus for compressing data streams. In an embodiment, a method includes calculating a decomposition of matrix data to generate eigenvectors and associated eigenvalues, determining clusters of the eigenvectors based on weighting the eigenvalues, calculating an eigenvector centroid for each cluster so that a dictionary of centroids is generated, and tagging the eigenvectors with tags, respectively, that identify an associated eigenvector centroid for each eigenvector.

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