Abstract: Method and system are provided for font personalization. The method carried out at a client includes: receiving a user-specific font transformation at a first client for storing at the first client, wherein the user-specific font transformation is a font transformation of a base font for an author user to which the font transformation applies; receiving content associated with the author user, wherein the content associated with the author user is received with an identifier of the user-specific font transformation of the author user; receiving the base font at the first client for storing at the first client for use with the user-specific font transformation; and applying the user-specific font transformation to the base font when rendering the content associated with the author user.

Abstract: A system, method and computer program product for use in managing collaboration on documents having digital ink on a network of computing devices is disclosed. Each computing device has a processor and at least one system application for processing handwriting input under control of the processor. The system application displays, on a display associated with one of the computing devices, a document having digital ink based on a journal of the document, defines the journal to have journal entries associated with at least handwriting input to the document represented by the digital ink, and communicates the journal entries of the journal with one or more of the other networked computing devices displaying the document. The handwriting input associated with the journal entries is handwriting input to the document via the input interface of any of the computing devices displaying the document based on the communicated journal entries.

Abstract: A word extraction assistance system includes: a storage device that stores a document archive that is a subject of following steps, and a dictionary that defines relations between words; and a calculation device that performs the step of comparing a document contained in the document archive with the dictionary, and thus generating candidate-for-structured-data related to relations between predetermined words, the step of performing determination of validity of the candidate-for-structured-data, based on certainty of the candidate-for-structured-data, and the step of adding the candidate-for-structured-data to the dictionary, based on a result of the determination of validity.

Abstract: A system and method for creating a dynamic electronic form are described. The system may include one or more processors that cause the system to perform create an electronic form with one or more data entry fields. The system may also obtain access to a plurality of datasets, where each dataset may include multiple entry fields and integrate at least one identified dataset with the electronic form. The system may further suggest at least one data input in the data entry field based on information input in the data entry field by a user. The data entry input suggested may be sourced from the identified dataset integrated to the electronic form.

Abstract: Systems and methods are provided for efficient storage and/or processing of enterprise data. A set of data from a content management system (CMS) is received and interpreted to determine a hierarchical object structure for the set of data. The hierarchical object structure includes: at least one parent object; at least one child object that is a subordinate object of the parent object; an indication of each parent/child relationship; and a set of attributes for each of the objects. The set of attributes for each of the at least one parent object and the at least one child object are analyzed in light of the indication of each parent/child relationship to gather accumulated attribute data. A graphical user interface (GUI) is rendered that presents one or more graphical cards representing the objects.

Abstract: Systems and methods disclosed herein provide a knowledge-based form creation platform. A form creation component may be initiated at a computing device to present a form creation user interface to a user. Content of a question can be received via a user interface from a user, from which a key term may be obtained. Information relating to the key term may be retrieved from a knowledge database, and the information may indicate an answer field format associated with the question. An answer field for the question may be automatically generated based on the answer field format.

Abstract: According to an embodiment of a present disclosure, a method for generating and utilizing a text fingerprint performed by a computing device is disclosed. The method comprises the steps of: dividing text data into one or more segments based on a predetermined text segmentation algorithm; determining a mapping value assigned to one or more subsegments that form the divided segment based on a predetermined mapping algorithm; generating a coordinate value for each of the one or more segments based on the determined mapping value; and generating the virtual fingerprint having a phonetic feature for the text data based on the generated coordinate value. That is, whether a plurality of the text data are similar to each other can be easily determined, when the text data also has a unique virtual fingerprint based on a pronunciation, in the same way every person has a unique fingerprint.

Abstract: A computer-implemented method includes: selecting a web page from plural web pages being opened in a web browser; finding a similar page having similar content to the selected web page from the plural web pages; and closing the similar page in response to an operation by a user.

Abstract: Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics.

Abstract: Embodiments described herein automatically classifies numerical expressions from a textual document and designates a context to understand each numerical expression. Specifically, numerical expressions from a textual context are classified as nominal or cardinal. For cardinal numerical expressions that carry a quantitative meaning, inference terms are determined from the textual context to associate with the cardinal numerical expressions. The numerical expressions are then translated to a format of a numerical value and stored with metadata indicating the unit scale or the meaning of the numerical value.

Abstract: The present invention provides a system and method for converting text data into speech data. Initially, the system enables a user to select a language from a plurality of languages supported by the operating system (OS) of a computing device. Further, on selecting and copying any text data, the system provides the user with options to listen to an audio output of the text data. The user is provided with options to listen to text data in either English or the selected language, when the language of the text data is one among the plurality of languages supported by the OS. Further, the user is provided with options to listen to text data in English, for the text data in any language. Once the user selects the option, the system converts the text data to speech data. The speech data is provided as the audio output to the user.

Abstract: In embodiments of the present invention improved capabilities are described for artificial intelligence communication assistance for aiding in the composition of electronic communications utilizing user communication profiles.

Abstract: Systems and methods of comparing structured documents are disclosed. From/to source documents are first represented by their respective from/to XML forms based on a predetermined schema. One or more from nodes are selected from the from XML document to compare to one or more to nodes from the to XML document. The comparison employs a set of matching functions that may be selected based on the domain of the source documents. The matching functions may compare just the tags of XML elements, and/or their text contents and/or any of their relevant attributes. The matching may be exact or approximate. Each matching function computes a score which may be weighted. For each pair of from/to nodes, an overall match-score is computed based on the scores of the individual matching functions. If the match-score reaches a matching-threshold, the pair is determined to be a match and further matching is stopped. The techniques are extended for comparing multiple from documents to a to document.

Abstract: Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.

Abstract: A method, system, and program for searching for a portion content contained in a document is disclosed. Accordingly, a search engine, or some other application, analyzes a document with a user selected content portion to determine a match. The particular algorithm for determining the match will vary depending upon the particular implementation. Based on this analysis, one or more portions of the document are automatically highlighted in situ.

Abstract: A method and a system of using machine learning to automatically generate a reference data structure for a K-anonymity model. A vector space is generated from reference text data, where the vector space is defined by numerical vectors representative of semantic meanings of the reference text words. Input text words are converted into numerical vectors using the vector space. Word clusters are formed according to semantic similarity between the input text words, where the semantic similarity between pairs of input text words is represented by metric values determined from pairs of numerical vectors. The word clusters define nodes of the reference data structure. A text label is applied to each node of the reference data structure, where the text label is representative of the semantic meaning shared by elements of the word cluster.

Abstract: A computing device has a display, one or more processors, and memory. The memory stores one or more programs configured for execution by the one or more processors. The computing device receives from a user a partial natural language input related to a data source. The partial natural language input includes a most recently entered first term. In response to receiving the first term, the computing device generates a first token that includes the first term. The computing device maps the first token to one or more analytical concepts in a lexicon of the data source. The computing device determines a first interpretation corresponding to the first token. The computing device also displays a first phrase corresponding to the first interpretation. The first interpretation includes the first term.

Abstract: The electronic devices described herein are configured to enhance user experience associated with drawing or otherwise inputting shape data into the electronic devices. Shape input data is identified and matched against known shape patterns and, when a match is found, an entity associated with the shape is determined. The entity is converted into an annotation for rendering and/or displaying to the user. The shape identification, entity determination, and annotation conversion may all be based on one or more context elements to increase the accuracy of the shape interpretation. In particular, elements of conversations held via the electronic devices may be used as context for the shape interpretation. Further, machine learning techniques may be applied based on a variety of feedback data to improve the accuracy, speed, and/or performance of the shape interpretation process.

Abstract: Methods and systems for structuring, storing and displaying time series data in a user interface. One system includes processors executing instructions to determine, from time series data from a first sensor, a first subset of time series data for the first batch from the first start time and the first end time, determine, from the time series data from the first sensor, a second subset of time series data for the second batch from the second start time and the second end time, generate a time series user interface comprising a chart, the chart including a first plot for the first subset of time series data and a second plot for the second subset of time series data, the first plot being aligned to the second plot, and cause presentation of the time series user interface.

Abstract: Embodiments of this application disclose a hyperlink processing method and apparatus. The method includes: converting first context information of a first hyperlink in a first object into a first context vector; obtaining a first input vector of the first object, the first object including information on the first hyperlink pointing to a second object; obtaining a first average vector according to the first context vector and the first input vector; adjusting at least one of the first input vector, the first context vector, or a first output vector corresponding to the second object; and calculating a similarity between the first output vector and the first average vector according to an adjustment result, and outputting the first output vector as an output vector of the second object in response to the similarity being greater than or equal to a first target threshold.