Abstract: Provided method and system allow dynamic rendering of a reflexive questionnaire based on a modifiable spreadsheet for users with little to no programming experience and knowledge. The method comprises receiving a modifiable spreadsheet with multiple rows, each row comprising rendering instructions for a reflexive questionnaire from a first computer, such as a data type cell, statement cell, logic cell, and a field identifier; rendering a graphical user interface, on a second computer, comprising a label and an input element corresponding to the rendering instructions of a first row of the spreadsheet; receiving an input from the second computer; evaluating the input against the logic cell of the spreadsheet; in response to the input complying with the logic cell of the spreadsheet, dynamically rendering a second label and a second input element to be displayed on the graphical user interface based on the logic of the first row.

Abstract: A method including receiving natural language text. A negative review is extracted from the natural language text using a first machine learning model (MLM). A first input to the first MLM is the natural language text and a first output of the first MLM is a first probability that the negative review has a negative sentiment. The negative review includes an instance of the natural language text having a corresponding negative sentiment probability above a threshold value. The negative review is categorized by executing a second MLM. A second input to the second MLM is the negative review. A second output of the second MLM is a second probability that the negative review is assigned to a category. A name of a target of the negative review is identified using the name recognition controller and the negative review. The name of the target and the category are provided.

Abstract: Rewriting text in the writing style of a target author is described. A stylistic rewriting system receives input text and an indication of the target author. The system trains a language model to understand the target author's writing style using a corpus of text associated with the target author. The language model may be transformer-based, and is first trained on a different corpus of text associated with a range of different authors to understand linguistic nuances of a particular language. Copies of the language model are then cascaded into an encoder-decoder framework, which is further trained using a masked language modeling objective and a noisy version of the target author corpus. After training, the encoder-decoder framework of the trained language model automatically rewrites input text in the writing style of the target author and outputs the rewritten text as stylized text.

Abstract: Disclosed is a method for suggesting revisions to a document-under-analysis (“DUA”) from a seed database, the seed database including a plurality of original texts each respectively associated with one of a plurality of final texts. The method includes tokenizing the DUA into a plurality of statements-under-analysis (“SUAs”), selecting a first SUA of the plurality of SUAs, generating a first similarity score for each of the plurality of the original texts, the similarity score representing a degree of similarity between the first SUA and each of the original texts, selecting a first candidate original text of the plurality of the original texts, and creating an edited SUA (“ESUA”) by modifying a copy of the first SUA consistent with a first candidate final text associated with the first candidate original text.

Abstract: A method is provided, including: storing comments generated in response to a content item served over a network; analyzing the comments to determine features associated with each of the comments; using a scoring model to score each comment based on the comment's corresponding features; receiving a request to serve a subset of the comments; responsive to the request, selecting a ranking of the comments that is one permutation from possible rankings of the comments, wherein selecting the ranking is in accordance with a probability distribution of the possible rankings that is based on the scores of the comments; serving comments identified by the selected ranking over the network to a client device; determining a dwell time on the served comments; applying the dwell time to update the scoring model.

Abstract: The present disclosure is directed toward systems and methods that efficiently and effectively generate an enhanced document image of a displayed document in an image frame captured from a live image feed. For example, systems and methods described herein apply a document enhancement process to a displayed document in an image frame that result in an enhanced document image that is cropped, rectified, un-shadowed, and with dark text against a mostly white background. Additionally, systems and method described herein determine whether a stored digital content item includes a displayed document. In response to determining that a stored digital content item does include a displayed document, systems and methods described herein generate an enhanced document image of a displayed document included in the stored digital content item.

Abstract: A method at an electronic device with a display includes: displaying a user interface having a first region and a second region; receiving, and displaying in the first region of the user interface, a live video stream of a physical environment captured by a remote video camera; displaying, in the second region, a timeline corresponding to a timespan for a first portion of a duration during which the live video stream may have been recorded; in response to receiving a user interaction to move the timespan to a second portion of the duration, transitioning the displayed timeline to a new timeline that corresponds to the timespan for the second portion, and while transitioning, displaying, in the first region, a subset of video frames representing the first and/or second portion of the duration.

Abstract: Embodiments of the subject matter described herein relate to generating a decision tree based on data pre-statistics. A plurality of data samples for a node of the decision tree are obtained, and the plurality of data samples have corresponding feature values with respect to a first feature. A target range is determined from a plurality of predefined numerical ranges so that the number of feature values falling into the target range is greater than a predetermined threshold number. Then, the remaining of the feature values other than the feature values falling into the target range are assigned to the respective numerical ranges, and the feature values falling into all the numerical ranges are counted based on the assignment of the remaining of the feature values, for allocation of the plurality of data samples to child nodes of the node. Accordingly, the data processing efficiency is substantially improved.

Abstract: Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document, and determining whether one or more pre-determined questions stored in a question-answer cache maintained at the local device matches the query data according to one or more matching criteria. The method further includes obtaining from the question-answer cache, in response to a determination that at least one of the pre-determined questions matches the query data received from the remote device, at least one answer data item, associated with at least one pre-determined question, corresponding to an answer to the question relating to the source content.

Abstract: An example method involves (i) accessing first data defining multiple portions of a content item, wherein at least a plurality of the portions represent text; (ii) selecting, from the plurality of portions representing text, a subset of the portions representing text, wherein the selecting is based on each portion of the selected subset having a particular characteristic; (iii) based on the text represented by the portions of the selected subset, generating second data that represents a concatenation of the text represented by the portions of the selected subset; and (iv) providing output based on the generated second data.

Abstract: A portable device and accompanying software provides users with a digital audio workstation with integrated tools take in raw audio data from physical inputs and map the raw data to various virtual outputs. Raw audio data for recording (recording data) is cast in real-time to a remote server. Monitoring data is simultaneously sent to collaborating devices via P2P protocols. The bitrate of the data for P2P transmissions can be adjusted to allow remote multiple users recording simultaneously to hear monitoring data in synchronicity, regardless of the speed of their respective internet connections. Face-to-face collaboration may be facilitated through the streaming of video data as the monitoring data. The low-latency of the P2P monitoring transmissions frees up bandwidth for the real-time streaming of the recording data. Audio recordings are uploaded to a central server, where they may be available to authorized collaborators for editing.

Abstract: Systems, methods, and non-transitory computer readable media are provided for using linked documents. A system may receive, from a computing device, a request for a document. Content of the document may be defined based on state information and stateless information. A system may determine a local replica of the document in a local database. The local replica of the document may be linked to a primary replica of the document. The local replica of the document may include a snapshot of the primary replica of the document. The primary replica of the document may be stored in a remote database which may be accessible through a remote server. The system may subscribe to the primary replica of the document through the remote server, and may provide access to the document to the computing device based at least in part on the subscription to the primary replica of the document.

Abstract: To prevent intent classifiers from potentially choosing intents that are ineligible for the current input due to policies, dynamic intent classification systems and methods are provided that dynamically control the possible set of intents using environment variables (also referred to as external variables). Associations between environment variables and ineligible intents, referred to as culling rules, are used.

Abstract: A computer-implemented method of machine-learning is described that includes obtaining a dataset of virtual scenes. The dataset of virtual scenes belongs to a first domain. The method further includes obtaining a test dataset of real scenes. The test dataset belongs to a second domain. The method further includes determining a third domain. The third domain is closer to the second domain than the first domain in terms of data distributions. The method further includes learning a domain-adaptive neural network based on the third domain. The domain-adaptive neural network is a neural network configured for inference of spatially reconfigurable objects in a real scene. Such a method constitutes an improved method of machine learning with a dataset of scenes including spatially reconfigurable objects.

Abstract: A method for synchronizing a plurality of presentation slide content with a soundtrack comprises obtaining the plurality of presentation slide content and the soundtrack including a plurality of audio samples. The presentation slide content comprises a video or an animation in the presentation slide. Each presentation slide content is associated with a metadata and each audio sample is indexed with a corresponding timecode. The method comprises detecting triggering event that identifies a current audio sample of the soundtrack as an audio sample to transition from a first presentation slide content to a second presentation slide content, and obtaining a timecode indexed with the identified audio sample, associating the timecode with the metadata of the second presentation slide content to link the second presentation slide content with the identified audio sample, and generating a synchronized presentation multimedia file having the linked second presentation slide content with the identified audio sample.

Abstract: Aspects of the present disclosure relate to machine learning techniques for continuous implementation and training of a machine learning system for identifying the natural language meaning of visual content. A computer vision model or other suitable machine learning model can predict whether a given descriptor is associated with the visual content. A set of such models can be used to determine whether particular ones of a set of descriptors are associated with the visual content, with the determined descriptors representing a meaning of the visual content. This meaning can be refined based on a multi-armed bandit tracking and analyzing interactions between the visual content and users associated with certain personas related to the determined descriptors.

Abstract: Provided is a method for classifying information technology (IT) service request messages. The method may include receiving data associated with an IT service request message, determining a plurality of number values associated with a plurality of characters included in the IT service request message, generating a vector that includes index values, generating a first bitmap based on generating the vector, generating a second bitmap based on the first bitmap, where the second bitmap has a first dimension and a second dimension, and where the first dimension and the second dimension are equal, and determining a classification of the IT service request message using a neural network algorithm. A system and computer program product are also disclosed.

Abstract: A system is provided for a hybrid computing application with desktop and web-based components. In particular, the system may comprise a desktop application comprising a user interface which may be configured to load and display one or more embedded web-based components along with one or more desktop application components. The web-based components may access data within the application (“application data”), and conversely, the application may access data within the web-based components (“web-based data”). The bidirectional interface of the application and web-based components may allow the user to seamlessly access all relevant functions of the application and web-based components within a unified graphical interface.

Abstract: First, a dual basis B? of B of modulo N is obtained by classical computation. Next, quantum computation is performed using the periodicity of a point sequence included in a sum set of sets obtained by parallel translation of a lattice L(B) by integral multiples of t for a plurality of integers, and an n-dimensional rj=(rj1, . . . , rjn) and rj0 are obtained for j=1, . . . , m. Subsequently, by classical computation, the closest vector rj(c)=(rj1(c), . . . , rjn(c))?L(B?) of the n-dimensional vector rj, and the difference vector rj(d)=rj?rj(c)=(rj1(d), . . . , rjn(d)) corresponding to rj(c) are obtained.

Abstract: Aspects of the present disclosure involve systems and methods for performing operations comprising: retrieving, from a content management system (CMS), website generation data that references a data model type stored on the CMS; importing, by a migration agent from the CMS, definition of the data model type referenced by the website generation data as a local version of the data model type; detecting, by the migration agent, a change to a property of the local version of the data model type; and generating, by the migration agent, a migration script to migrate the change to the property of the local version of data model type to the data model type stored on the CMS.