Abstract: Examples described herein include systems and methods for providing user-specific previews for terms within text. An example method can include receiving tracked user behavior reflecting terms selected by a user and entered into a search. A representation of known words can be created based on the tracked user behavior. By training machine-learning models for each individual user, personalized previews can be presented when each user encounters a new body of text, such as in a webpage or email. The preview can apply to a term not previously known to the user but likely to be searched by the user, relying on content gathered from a search on a search medium that the user was likely to use. The content can be presented to the user in a graphical user interface allowing for interaction and feedback.

Abstract: A web browser extension identifies graphic objects from images or video being presented by a web browser. Webpages related to the graphic objects are identified. Web links that facilitate navigation to the webpages are embedded over an area of the image corresponding to the identified graphic image. Where the graphic objects are identified within video, the web links are progressively embedded within graphic object boundaries of the graphic object as the graphic objects move locations during progression of the video. In this way, a user is able to interact with graphic objects of images and video to navigate to webpages related to the graphic objects. Some implementations provide a webpage redirect command at a stop point of the video so that the user can interact with graphic objects while the video is playing and without interrupting the video.

Abstract: Methods, non-transitory computer readable media, and accessibility analysis devices are disclosed that identify a web page context box. A hash function is applied to properties of elements to generate a semantic layer hash value for a semantic layer for the context box. The properties or elements are identified based on a semantic layer type. A determination is made that the context box is equivalent to another context box of another web page with respect to the semantic layer based on a match of the semantic layer hash value to another semantic layer hash value generated during a prior accessibility evaluation of the other web page. A review of an accessibility issue associated with one of the elements is retrieved based on the other semantic layer hash value. An issue report comprising the accessibility issue, the review, and the one of the elements is then generated and output.

Abstract: A graphical user interface (GUI) for forming hierarchically arranged clusters of items and operating thereupon through an electronic device equipped with an input-device and a display-screen is provided. The GUI comprises a first area configured to display a graphical-tree representation having a plurality of hierarchical levels, each of said level corresponds to at least one cluster of content-items formed by execution of a machine-learning classifier over a plurality of input content items. A second area is configured to display a dataset corresponding to the content-items classified within the clusters. A third area is configured to display a plurality of types of content representations with respect to each selected cluster, said representations corresponding to content-items classified within the cluster.

Abstract: In some implementations, a system dynamically adjusts an electronic form of an application based on user data and form data specified for the electronic form. Form data that specifies characteristics of the electronic form is initially received by a computing device. The form data specifies one or more rules configured to vary the content of the electronic form that is presented for different users. User data indicating characteristics of a user is then obtained by the computing device. An interactive element is then selected from among a set of multiple interactive elements based on the received user data and the rules in the received form data. A view of the electronic form is customized for the user by including, in the customized view, the interactive element. The view of the customized electronic form is then displayed by the computing device.

Abstract: In some implementations, a system dynamically adjusts an electronic form of an application based on user data and form data specified for the electronic form. Form data that specifies characteristics of the electronic form is initially received by a computing device. The form data specifies one or more rules configured to vary the content of the electronic form that is presented for different users. User data indicating characteristics of a user is then obtained by the computing device. An interactive element is then selected from among a set of multiple interactive elements based on the received user data and the rules in the received form data. A view of the electronic form is customized for the user by including, in the customized view, the interactive element. The view of the customized electronic form is then displayed by the computing device.

Abstract: A method and a system include receiving indication of a user interaction within a pre-determined time period, determining that the user interaction is a contextual triggering event based on a plurality of triggering conditions, identifying a media content item associated with the contextual triggering event, generating a first user interface including a user-selectable element representing a content transmission proposal, in response to detecting a user selection of the user-selectable element, generating a second user interface, the second user interface including the media content item and a plurality of user-selectable entity icons.

Abstract: The present disclosure relates to UI systems and processes including methods for displaying on a computer display information about electronic documents matching selection criteria. Summary information may appear in representative bubbles that can be smoothly panned and zoomed, with amounts of detail changing in proportion to the size of the bubbles. In a small size, an image extracted from the document, if any, may be displayed. In one size, keywords identified by NLP and NER algorithms can be added. In another size, a document summary can be shown. In another size, a full-text view a scrollable widow or iframe displays the document within the bubble. Bubbles may be clumped by various criteria including topic, age, popularity, and so on. Bubbles may use colors to indicate topic, age, language, or document source. User-viewed bubbles may be deemphasized after the user has view them.

Abstract: In one embodiment, a mobile data analysis system generates mobile reports. In this context, a mobile report represents information collected by a mobile device user and provided as input to a report form displayed by an associated mobile device. The collected information may, for example, include information relating to an activity or event, information relating to a particular person, entity, or location, or any combination thereof. A mobile report may be based on a report template. A report template defines one or more data fields and other property information to be included in a mobile report. A mobile report may be sent to a server to generate one or more data objects, and one or more data object links between the data objects from a first mobile report, the data objects from a second mobile report, and exiting data objects that are maintained at the server.

Abstract: Systems and methods are described herein for generating a timeline of media assets on a media guidance application that dynamically adjusts the timeline of related media assets associated with the media asset selected by a user, by comparing keywords. In another embodiment, the systems and methods are described for masking portions of headline of the media asset for increasing interests in selecting the media asset.

Abstract: Systems and methods described herein relate to determining whether to provide auto-completed values for fields in a digital form. More specifically, for a given field in the digital form, a machine-learning model can be trained to transform an input data set into a predicted field value and can further generate a corresponding confidence metric. A relative-loss parameter can be determined for the field, where the relative-loss parameter represents a loss of responding to an inaccurate predicted field value for the field relative to a loss corresponding to a human user providing a field value for the field. A confidence-metric threshold can be determined for the field based on the relative-loss parameter. For a given usage of the digital form, it can then be determined whether to auto-complete the field with a predicted field value generated by the model by determining whether the corresponding confidence metric exceeds the confidence-metric threshold.

Abstract: A system comprises a database stored on a server and a processing device in communication with a user device accessible to a user. The processing device includes: a hosting module configured to generate and display a web-based application on a user device; a communications module configured to enable the user to access and interact with the web-based application on the user device; a matter administration module configured to maintain a plurality of matter data associated with a matter stored in the database; a custodian administration module configured to maintain a plurality of custodian data stored in the database; an evidence administration module to maintain a plurality of evidence data stored in the database; an interview building module to allow the user to prepare at least one custom interview based on the plurality of matter data.

Abstract: A non-transitory computer readable medium storing a program that causes a processor to function as an information processing apparatus. The information processing apparatus includes a receiving unit configured to receive an input of a natural sentence that describes the content of a process for a process target, a generator configured to generate a series of processes including the process in accordance with the received natural sentence, and a display controller configured to perform control so as to display content information indicating contents of the generated series of processes.

Abstract: There are provided systems and methods for an inline editing field for nested website settings. A computing device may be used to process a search query with a search engine and receive results. The search query may include a search for a particular website setting, such as a user profile, account, security, or preference setting that may allow a user to provide input and affect particular user or website data with the website. Determination of the requested website may be performed through a machine learning engine. The machine learning engine may identify the security setting nested in the website through multiple navigations, website flows, and navigations, and may extract processes and flows for use of the setting. An inline editing field may then allow for user input in a search interface that allows for editing the setting without navigation to the website and nested setting.

Abstract: The present disclosure provides an interactive information notification method and apparatus, a device, and a computer-readable storage medium. The method includes receiving an interactive information viewing instruction sent by a first user, the viewing instruction including position information of the interactive information in an online spreadsheet; acquiring the interactive information from the online spreadsheet according to the position information; and displaying the interactive information in a highlighted manner in the online spreadsheet so that the interactive information is distinguished from other information in the online spreadsheet. Therefore, the user can quickly and intuitively determine the position of the interactive information and correspondingly process the interactive information, so that the user's editing efficiency for the online spreadsheet is improved.

Abstract: Implementations relate to embedded programs and interfaces for chat conversations. In some implementations, a method includes initiating an embedded application in association with a chat interface displayed by a messaging application that executes at least in part on a first user device. The chat interface displays messages originating from other user devices participating in a chat conversation over a network and associated with chat users. An indication is received over the network that one or more particular devices of the other user devices have connected to an embedded session associated with the embedded application. In response, chat identities associated with particular users of the particular user devices are provided from the messaging application to the embedded application. The particular users are designated as member users of the embedded session, and the embedded application is updated based on data received from particular user devices of the embedded session.

Abstract: The technology disclosed relates to systems and methods for device-dependent display of an article from a PDF file that has multiple articles and a table of contents to the articles. The system can use a library to render the article from the PDF file. The rendering can include bounding boxes positioned at on-page coordinates that can include one or more images and multiple text blocks of glyphs. The system can detect at least one table in the PDF file that includes pages numbers and multiple columns. The system includes logic to partition a contiguous sequence of text representing the table into text blocks of entries and columns. The system includes logic to merge multiple text blocks that align horizontally with a single page number into a single text block. Table of contents is displayed in a device-dependent format including the entries from the merged text blocks.

Abstract: Systems, methods, and computer-readable media for embedding and running an electronic non-word processing application within an electronic word processing document are disclosed.

Abstract: Mechanisms are provided to perform selective deep parsing of natural language content. A targeted deep parse natural language processing system is configured to recognize one or more triggers that specify elements within natural language content that indicate a portion of natural language content that is to be targeted with a deep parse operation. A portion of natural language content is received and a pre-deep parse scan operation is performed on the natural language content based on the one or more triggers to identify one or more sub-portions of the natural language content that contain at least one of the one or more triggers. A deep parse is performed on only the one or more sub-portions of the portion of natural language content that contain at least one of the one or more triggers, while other sub-portions of the portion of natural language content are not deep parsed.

Abstract: User-generated input is received that includes a sequence of words associated with initiation of a computer-implemented event. Thereafter, such input is parsed using at least one natural language processing (NLP) model. This parsed input is then used by a machine learning model to determine a suggested template having a plurality of fields for initiating the event. The template can then be presented in a graphical user interface. Related apparatus, systems, techniques and articles are also described.