Abstract: A contract platform may receive, from data structures, historical contract data; read, from the historical contract data, numerical categorical data; process the numerical categorical data, with one or more artificial intelligence models, to convert the numerical categorical data into vector format; generate a taxonomy in vector format based on the converted numerical categorical data; read, from the historical contract data, nonnumerical noncategorical data; process the nonnumerical noncategorical data, with the models, to convert the nonnumerical noncategorical data into vector format; generate a knowledge graph in vector format based on the converted nonnumerical noncategorical data.

Abstract: Quantum version control (QVC) services are disclosed that manage, track, and archives updates to the contents of a quantum file (QF). The QVC service tracks versions of a QF as updates are made to the QF, assigns a unique identifier to each version of the QF, and generates a version history for the QF. The QVC service enables a recovery of each version of the QF within the version history. The version history is encoded in metadata for the QF. The metadata for the QF enables the access of any version of the QF in the QF's version history. A set of qubits is prepared, such that quantum states of the set of qubits are in a superposition. The superposition of the quantum states of the set of qubits simultaneously encodes each version of the version history.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in electronic messaging, and other, systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically generating data extraction rules, which can then be used to automatically extract data from electronic messages.

Abstract: Techniques for content-aware font recommendations include obtaining an electronic document comprising an image and text. The image is processed using one or more convolutional neural networks to determine one or more image tags. The image tags are mapped to one or more font tags using a user map, a designer map, or one or more contextual synonyms of the image tags. A font to recommend for the electronic document is then determined using the one or more font tags.

Abstract: A transcript of an audio conversation between multiple users (e.g., two users) is generated. The transcript is displayed in real time within a VR environment as the conversation takes place. A virtual selection tool is displayed within the VR environment to allow for a selection of different portions of the transcript. In addition, a virtual keyboard and or virtual panels with characters may be displayed and the virtual selection tool may be used to make selections from these displays as well. These selections are used to generate new text. The new text may form part of a user's notes of the conversation or an entry for a text field within the VR environment.

Abstract: Systems and methods are provided for generating and training a relation extraction model configured to extract document-level relations. Systems obtain a knowledge database that comprises a plurality of entity tuples and a plurality of relation types, use the knowledge database to generate annotated relation instances based on relation instances that are identified in a set of unlabeled text, generate a training dataset comprising the annotated relation instances and the set of unlabeled text, and generate the machine learning model via modular self-supervision. Systems and methods are also provided for using a relation extraction model to extract document-level relations in specific use scenarios, such as for extracting drug response relations from full-text medical research articles.

Abstract: A dyslexia conversion system generates, via dyslexia conversion, dyslexia converted text for display via a display device, wherein the dyslexia conversion operates by: partitioning the set of characters into subsets of non-dyslexia-conflicting characters, wherein a union of the subsets of non-dyslexia-conflicting characters is the set of characters and wherein an intersection between each pair of the subsets of non-dyslexia-conflicting characters is a null set; assigning to each of the subsets of non-dyslexia-conflicting characters, at least one of a plurality of colors; mapping each character of the input text to a corresponding one of the subsets of non-dyslexia-conflicting characters; and generating the dyslexia converted text by rendering each character of the input text in accordance with the at least one of the plurality of colors assigned to the corresponding one of the subsets of non-dyslexia-conflicting characters.

Abstract: A computer program product includes multiple microservices for interrogating clinical records according to one or more projects associated with patient datasets obtained from electronic copies of source documents from the clinical records. A first microservice generates a user interface including a first portion displaying source documents and, concurrently, a second portion displaying structured patient data fields organized into categories for entering structured patient data derived from the source documents displayed in the first portion. Categories and their organization are defined by a template and include cancer diagnosis, staging, tumor size, genetic results, and date of recurrence. A second microservice validates abstracted patient data according to validation rules applied to the categories, validation rules being assigned to the projects and performed on the categories as they are populated.

Abstract: A method, non-transitory computer-readable storage medium and system is disclosed for using context-based dictionaries to search through multimedia data using input that specifies tags, words, phrases, descriptions, environments, emotions, sentiments, multimedia objects or content, or other relevant attributes. The system retrieves original content, analyzes and processes it, and presents to the user synchronized multimedia content and text content that is automatically tagged for searching.

Abstract: A method performed by a mobile device includes causing display of graphical tiles on a display of the mobile device and detecting a gesture while displaying the graphical tiles. The gesture includes an indication to move a particular graphical tile among the graphical tiles. In response to the gesture, the mobile device can automatically move another graphical tile to accommodate the new location of the particular graphical tile and cause display of the graphical tiles arranged in a new order that includes the particular graphical tile in the new location.

Abstract: In an iterative process, text for display to a user is generated at an output, the text rendered based on initial font characteristics. While the user reads the text, raw data relating to readability of the text is received via an input. Feedback data is generated from the raw data and communicated to an analysis agent for readability analysis. New font characteristics are received from the analysis agent. Displaying the text to the user, generating feedback data, and communicating the feedback data to the analysis agent is repeated until preferred font characteristics are identified to have better readability than others analyzed. The preferred font characteristics are received from the analysis agent, and text continues to be generated for display to the user, the text rendered based on the preferred font characteristics.

Abstract: Glyph editing techniques through use of an adornment object are described. In one example, an input is received identifying a glyph and an adornment object in digital content displayed in a user interface. Glyph anchor points are obtained based on the glyph and adornment anchor points based on the adornment object. A link is generated between at least one said glyph anchor point and at least one said adornment anchor point. An edit input is received specifying an edit to a spatial property the glyph. The spatial property of the edit is propagated to a spatial property of the adornment object based on the link.

Abstract: A computing device includes a processor to monitor usage of resources within the computing device. Responsive to the usage of resources being above a threshold, a determination is made that displayed content of a web page from an application includes video or animation content. A determination that the video or animation content is included as part of a background of the displayed content is based on a comparison of sizes between a display screen displaying the content of the web page and the video or animation content. Responsive to the determination that the background includes the video or animation content, the processor no longer plays the video or animation content to reduce resource usage by the application to display the web page.

Abstract: Mechanisms for removing objectionable and/or inappropriate content from media content items are provided. In some embodiments, the method comprises: receiving a first media content item and a dictionary, wherein the first media content item includes an audio component and a video component; identifying a plurality of scenes and a plurality of scene breaks associated with the first media content item; transcribing the audio component of the first media content item to produce transcribed audio; comparing the transcribed audio to entries in the dictionary and storing matches between the transcribed audio and the entries; and generating a second media content item by removing at least a portion of at least one of the audio component and the video component based on the matches.

Abstract: The present teaching relates to generating a conversational agent. In one example, a plurality of input utterances may be received from a developer. A paraphrase model is obtained. The paraphrase model is generated based on machine translation. For each of the plurality of input utterances, one or more paraphrases of the input utterance are generated based on the paraphrase model. For each of the plurality of input utterances, at least one of the one or more paraphrases is selected based on an instruction from the developer to generate selected paraphrases. The conversational agent is generated based on the plurality of input utterances and the selected paraphrases.

Abstract: Methods and apparatus related to receiving a request that includes robot instructions and/or environmental parameters, operating each of a plurality of robots based on the robot instructions and/or in an environment configured based on the environmental parameters, and storing data generated by the robots during the operating. In some implementations, at least part of the stored data that is generated by the robots is provided in response to the request and/or additional data that is generated based on the stored data is provided in response to the request.

Abstract: The present teaching relates to method, system, medium, and implementations for text processing. Upon receiving input data including an original token and a ground truth token label for the original token, a manipulation is applied to the original token to generate a manipulated token based on which to generate manipulated input data. Training data is generated based on the manipulated input data, the ground truth token label, and a ground truth action that, when applied to the manipulated token, yields the original token with the ground truth token label. A text moderation model is trained based on the training data.

Abstract: Provided is a revision content summarizing apparatus that can summarize revision content without knowing the chapter structure (composition). A document revision acquisition unit acquires pre-revision document data, post-revision document data, and detailed information having format of revision part. A relationship acquisition unit acquires relationship information between a reviewee, who is a user making the revision, and a reviewer, who is a user reviewing the revised content. A summary generation unit generates summary data from the post-revision document data, the pre-revision document data, and the detailed information acquired by the document revision acquisition unit with the relationship information acquired by the relationship acquisition unit. The summary generation unit determines the number of summary characters from the relationship distance between the reviewee and the reviewer in the relationship information.

Abstract: According to one embodiment, a dictionary editing apparatus includes a processor with hardware. The processor extracts a word from text data. The processor appends a character pronunciation to the extracted word. The processor calculates at least one of a first reliability denoting a reliability of the extracted word and a second reliability denoting a reliability of the appended character pronunciation. The processor specifies a word to be a modification candidate in accordance with the first reliability. The processor specifies a character pronunciation to be a modification candidate in accordance with the second reliability.

Abstract: A method and a system to suggest a content item to be included in a message based on a determined context are provided. A context of a message that user is composing via a composition interface is determined based on one or more properties of the message. One or more inputs to the user composition interface are identified, the one or more inputs indicating at least a portion of intended content of the message. One or more suggested content items are provided for inclusion in the message based on the context of the message and the one or more inputs. A suggested content item of the suggested content items are added in the message based at least in part on the one or more properties of the message.

Abstract: A method is disclosed for presenting media content on a first client computer of client computers that are participating in a collaboration session.

Abstract: Ephemeral stories allow users of an online system, such as a social networking system, to share content for a pre-determined temporary length of time. Channels group and organize stories based on content. Topic-based channels allow contain stories that have related content. Hashtag- and sticker-associated channels contain stories that include particular hashtags or stickers, respectively. User-specific channels contain content tailored by the online system for display to a particular user based on preferences and history. Collaborative channels are channels that are private to a specific group of users. The use of channels improves the online experience by grouping stories by content, thereby facilitating users' interaction with similar content.

Abstract: Embodiments described herein are directed to an annotation system having a remote processor, and a client processor in data communication with the remote processor. The client processor is adapted to send a first request for an electronic file to the remote processor, receive the electronic file from the remote processor, define at least one new annotation about the electronic file, and define at least one anchor associated with the at least one annotation. The at least one of the remote processor and the client processor is adapted to store the at least one anchor and the at least one annotation in an annotation file that is separate from the electronic file.

Abstract: A network node of a collaboration system is provided to establish communication with other network nodes. The network node comprises a display having a physical display space. The network node can store collaboration data and render on the local client screen space a local client canvas having locations in the virtual workspace. The network node includes logic to provide a user interface to display a list of markers representing predefined canvases in both the virtual workspace and another virtual workspace. The predefined canvases defining (i) respective areas in the virtual workspace having a location and (ii) an area in the other virtual workspace having a location. The network node includes logic to respond to an input indicating a selected marker from the list of displayed markers to update the location of the local client canvas to match the location of the predefined canvas represented by the selected marker.

Abstract: The invention relates to an electronic element supporting data inquiry method, a storage medium and a terminal. The method comprises: obtaining an initial series element code; splitting the initial series element code according to a preset splitting mode to obtain at least a sub-word; establishing a corresponding relationship between the sub-word and the electronic element supporting data and storing the corresponding relationship in a database. Receiving an electronic element identifier; extracting at least a sub-word corresponding to the electronic element identifier, wherein the sub-word is a part of the electronic element identifier; searching for a data tag corresponding to the sub-word, wherein the data tag comprises the sub-word; obtaining the electronic element supporting data corresponding to the data tag. Through the implementation of the invention, the workload in the database construction process is greatly reduced, and the maintenance cost is reduced.

Abstract: A method may include determining that input text data includes a first keyword from a first set of keywords. The method also includes determining a similarity between the input text data and a first stored text string that has previously been identified as a false positive match for the first keyword, and based on the similarity, generating a first false positive score corresponding to the input text data. Further, the method includes determining a number of keywords, from a second set of keywords, that are included in the input text data, and based on the number of keywords, generating a second false positive score corresponding to the input text data. The method also includes calculating a final false positive score corresponding to the input text data based on the first false positive score and the second false positive score.

Abstract: The present invention provides for improving training dataset by identifying errors in training dataset and generating improvement recommendations. In operation, the present invention provides for identifying and correcting duplicate utterances in training dataset comprising utterances-intent pairs. Further, a plurality of Natural Language ML models are trained with the corrected training dataset to obtain diverse set of trained ML models. Each utterance of training dataset are fed as input to trained ML models, and a probability of error associated with each utterances-intent pairs of training dataset are evaluated based on analysis of respective intent predictions received from each of the trained ML models. Furthermore, spelling errors in the dataset are identified and data-imbalances in the training dataset are evaluated.

Abstract: The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Information is extracted by identifying defined terms and their definitions in input text as well as by identifying portions of different input texts relevant to a point of interest and detecting deviations in those portions between the different input texts.

Abstract: A transcript of an audio conversation between multiple users (e.g., two users) is generated. The transcript is displayed in real time within a VR environment as the conversation takes place. A virtual selection tool is displayed within the VR environment to allow for a selection of different portions of the transcript. In addition, a virtual keyboard and or virtual panels with characters may be displayed and the virtual selection tool may be used to make selections from these displays as well. These selections are used to generate new text. The new text may form part of a user's notes of the conversation or an entry for a text field within the VR environment.

Abstract: One embodiment of the present invention relates to an electronic device for reproducing, in time sequence, first pen data in which handwriting strokes are digitized on a medium by an electronic pen. The electronic device comprises: a communication module; a control module; an output module for reproducing or outputting first handwriting information, first image or audio information photographed or recorded by the electronic device, and event information in time sequence; and a memory module for storing contents including the first handwriting information, the first image or audio information, and the event information, wherein, when the communication module further receives second pen data in a state where the first handwriting information is held on the output module after the contents are stored in the memory module, second handwriting information corresponding to the second pen data is added to the first handwriting information and then reproduced.

Abstract: Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.

Abstract: A system for identifying industrial ergonomics risk root-causes and providing risk control actions, comprising: a computing device configured to obtain textual information describing a series of tasks of a job and forces being exerted during the series of tasks; and a computing server system configured to receive and process the textual information to generate a set of textual entry to correspond to a unique identifier of the job, identify nouns and verbs in the set of textual entry via natural language processing techniques, perform dependency parsing and part-of-speech tagging to associate each identified verb in the set of textual entry with a root noun in order to identify action-object pairs and unpaired actions, determine ergonomic risk root-causes based at least upon the action-object pairs and the unpaired actions in the set of textual entry, and provide ergonomic risk control recommendations to mitigate the ergonomic risk root-causes.

Abstract: A term base can be used to index a raw medical term (e.g., a text string from an electronic health record) to generate a computational expression of the raw medical term. The computational expression of the raw medical term can be used to generate a uniform medical term for the raw medical term. The computational expression can be compared with other computational expressions to organize the electronic health record, filter the electronic health record, and provide a uniform presentation of raw medical terms from different events in the electronic health record.

Abstract: Systems and methods for classifying and splitting an electronic file into a plurality of extracted documents are provided. The electronic file is received. An initial portion of the electronic file is classified using a trained classifier and extracted from the electronic file as an extracted document associated with the classification. It is iteratively determined whether each respective next portion of the electronic file should be added to the extracted document until it is determined that the respective next portion should not be added to the extracted document. In response to determining that the respective next portion should be added to the extracted document, the respective next portion is extracted from the electronic file and added to the extracted document. In response to determining that the respective next portion should not be added to the extracted document, the classifying and the iteratively determining are repeated using the respective next portion as the initial portion.

Abstract: A whitelisting approach to redaction may include receiving a normalization request containing a binary file with complex structured data, such as a workbook or spreadsheet file, from an application on a user device through a redaction service provided by an e-discovery platform. In response to the normalization request, a normalization process starts and runs asynchronously to apply a whitelist to the binary file. The whitelist is configurable and specifies features (e.g., data types, workbook object types, etc.) of the binary file that are considered safe by a party to a lawsuit or investigation. The normalization process includes a pre-processing stage, a transferring stage, and a post-processing stage to push all the data to a visible level and produce a normalized document with the whitelisted features. An artifact containing the normalized document can then be generated and used to render a normalized representation for interactive redaction.

Abstract: Interactive natural language processing (NLP) results may be generated that allow a user to interact with the NLP results but do so in an offline manner so that the documents being processed need not be stored online. To provide interactive NLP results, event handlers may be attached to elements of the NLP results. A user may then select a word or phrase of the NLP results to cause computer software provided with the NLP to present the interactive features. For example, a user may click on a definite noun phrase to view information for diagnosing antecedent basis errors. For another example, a user may click on a word to view information about how that word is used in a document, such as viewing portions of the document that include the word or variants of the word.

Abstract: The present invention is directed towards providing automated workflows for the identification of a reading order from text segments extracted from a document. Ordering the text segments is based on trained natural language models. In some embodiments, the workflows are enabled to perform a method for identifying a sequence associated with a portable document. The methods includes iteratively generating a probabilistic language model, receiving the portable document, and selectively extracting features (such as but not limited to text segments) from the document. The method may generate pairs of features (or feature pair from the extracted features). The method may further generate a score for each of the pairs based on the probabilistic language model and determine an order to features based on the scores. The method may provide the extracted features in the determined order.

Abstract: The present disclosure is directed to systems, methods and devices for providing customizable enterprise-based policy for managing document content. Text from documents being authored and edited may be processed by one or more natural language processing and machine learning modules and a determination may be made that one or more enterprise rules relating to processed text are implicated. Properties from documents being authored and edited may be processed. Recommendations based on the one or more implicated enterprise rules may be provided to a document author to provide an enhanced reader experience and to increase the document's effectiveness or alignment to a common voice or standards amongst the content group. Analytics relating to a plurality of enterprise documents may be provided as they relate to document effectiveness or alignment to a prescribed voice or standards.

Abstract: A display apparatus includes a memory and circuitry. The memory that stores one or more display components. The circuitry receives an input of hand drafted input data. The circuitry displays at least one display component of the one or more display components, the at least one display component corresponding to a shape of the hand drafted input data whose input is received.

Abstract: An apparatus includes a memory and processor. The memory stores OCR and NLP algorithms. The processor receives an image of a physical document page and executes the OCR algorithm to convert the image into text. The processor identifies errors in the text, which are associated with noise in the image. The processor generates a feature vector that includes features obtained by executing the NLP algorithm on the text, and features associated with the identified errors in the text. The processor uses the feature vector to assign the image to a document category. Documents assigned to the document category share one or more characteristics, and the feature vector is associated with a probability greater than a threshold that the physical document associated with the image includes those characteristics. The processor then stores the image in a database as a page of an electronic document belonging to the assigned document category.

Abstract: Systems and methods for creating actionable data from documents are described. In some implementations, the systems and methods deconstruct, or break up, documents into blocks (e.g., a paragraph or other segment or portion of text of the document) and store the blocks in a database. The systems and methods tag the blocks with intelligence about the content of the blocks. For example, the systems and methods can tag blocks with commitment markers or other information that identify the blocks as containing or reciting a commitment (e.g., a contractual provision, term, or obligation) within a contract document.

Abstract: A system and method for records management and classification of files in a content management system having a server system that stores the files. A system detects when at least one of the files is classified by a user of a client computing system as a classified file, and based on the detecting of the classification of the one or more files, each classified file is removed from the client computing system. The system further detects when at least one of the files is declared as a permanent record by the user of the client computing system, and based on the detecting of the declaration as a permanent record, prevents editing by the client computing system of each file declared as a permanent record.

Abstract: A browser on a client device is navigated to a hosting computing system that hosts a service that provides access to documents. The browser is navigated to a particular document, to access the document. The document is displayed by the browser. A link to the document is displayed in an address bar generated by the browser, along with a graphical element indicative of the sharing attributes corresponding to the link.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in electronic messaging, and other, systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically generating data extraction rules, which can then be used to automatically extract data from electronic messages.

Abstract: Aspects of the present disclosure relate to input text management. Input text can be received from a user. A set of key elements can be extracted from the input text. A determination can be made whether the user is mapped to an existing cluster. In response to determining that the user is mapped to an existing cluster, a structured table mapping key elements to text modifications can be referenced. The input text can be modified according to the structured table mapping key elements to text modifications, wherein the existing cluster is associated with a text modification scheme within the structured table, wherein the text modification scheme includes a first mapping of key elements to text modifications.

Abstract: A method specifically includes, in a human-computer dialog interaction process, when a server performs slot extraction on user discourse, if there is a slot corresponding to which information fails to be extracted and the slot is an optional key slot, the server asks the user a question to determine whether the information corresponding to the slot is necessary. If the information is necessary, the server further extracts the information corresponding to the slot. If the information is unnecessary, the server does not extract the information corresponding to the slot.

Abstract: A system and method that guides a user to record initial and final walkthrough videos, along with audio, of their rental property is disclosed. The embodiments also provide a system that can scan a lease for the rental property, as well as audio from a user's narration of the video, and extract and tag particular features of the video for efficient querying at a later time. The system can interpret portions of the lease that are relevant to particular items or components in the apartment (for example, major appliances) and guide the user to perform a comprehensive inspection of the items mentioned in the lease.

Abstract: In a method for configuring documents for circulation, a document template and a plurality of field templates are created. The document template and the field templates are integrated to obtain an integrated document template. A workflow template is generated according to the integrated document template. A document entity is generated according to the integrated document template in response to a first user operation. The document entity is operated by a second user operation. A workflow entity derives from to the workflow template, the workflow entity including a plurality of node entities, and the node entities include a start node entity and an end node entity. The document entity is transferred from the start node entity to the end node entity according to the workflow entity. The method meets the requirements for general circulation of documents generated by a business with ever-increasing complexity.

Abstract: A document is represented as a node tree in a document processing system. Edits to a node are represented in a change record that has a one-way link to the node. A text mark has a one-way link to the change record. It deletes that link when the changes represented by the change record are reflected in the text mark. A memory management system releases the memory allocated to the change record when no other object links to it.

Abstract: The disclosed embodiments provide a system for performing A/B testing of service-level metrics. During operation, the system obtains service-level metrics for service calls made during an A/B test, wherein the service-level metrics are aggregated by user identifiers of multiple users. Next, the system matches the service-level metrics to treatment assignments of the users to a treatment group and a control group in the A/B test. The system then applies the A/B test to a first grouping of the service-level metrics for the treatment group and a second grouping of the service-level metrics for the control group. Finally, the system outputs a result of the A/B test for use in assessing an effect of a treatment variant in the A/B test on the service-level metrics.