Abstract: A system stores records of different entity types and processes search queries to determine search results comprising records that match the search query. The system receives a search query comprising search keywords from a source user. The system identifies a target user based on a search keyword received in the search query. The system determines a relationship between the source user and the target user. The system determines a relationship strength score for the relationship between the source user and the target user and ranks the search results based on the relationship strength score. The system provides the search results to the source user.

Abstract: Methods, systems, apparatuses, devices, and computer program products are described. A communication platform may receive a first request indicating a first data object comprising metadata associated with an update to an action of a communication process flow. The metadata may indicate that a user with particular permissions is to approve the update. The communication platform may post an entry displaying the metadata and configured to receive an indication of approval of the update from the user. The communication platform may receive an indication of the approval from the user, for example via a user interface component. The communication platform may generate a second data object indicating the action and the user, ensuring that the update was successfully approved, and transmit a second request to a communication process flow management service supporting the communication process flow, the second request including the second object and configured to activate the update.

Abstract: Methods and systems for answering frequently asked questions are described. An utterance is received. A decision score that is indicative of the likelihood that the utterance is answerable according to a set of frequently asked questions and associated answers is determined for the utterance. A candidate answer from the associated answers and a selection score for the candidate answer are determined for the utterance. A total score for the candidate answer is determined based on the decision score and the selection score. The total score is indicative of the likelihood that the candidate answer is a correct answer for the utterance according to the set of frequently asked questions and associated answers.

Abstract: Implementations are described which provide for recipient-based filtering of an event that relates to a topic to which consumers are subscribed. Responsive to determining that an attribute of the event includes a set of one or more identifiers for intended recipients for the event, the event is delivered to consumers that correspond to the intended recipients. Alternatively, responsive to determining that the attribute of the event does not include a set of one or more identifiers for intended recipients for the event, the event is delivered to all of the consumers subscribed to the topic to which the event relates.

Abstract: Embodiments described herein provide natural language processing (NLP) systems and methods that provide a customized summarization of scientific or technical articles, which disentangles background information from new contributions, and summarizes the background information or the new information (or both) based on a user's preference. Specifically, the systems and methods utilize machine learning classifiers to classify portions of sentences within the article as containing background information or as containing a new contribution attributable to the article. The systems and methods then incorporate the background information in the summary or incorporate the new contribution in the summary and output the summary. In this way, the systems and methods can provide summaries of scientific literatures, which largely accelerates literature review in scientific fields.

Abstract: A system uses conversation engines to process natural language requests and conduct automatic conversations with users. The system generates responses to users in an online conversation. The system ranks generated user responses for the online conversation. The system generates a context vector based on a sequence of utterances of the conversation and generates response vectors for generated user responses. The system ranks the user responses based on a comparison of the context vectors and user response vectors. The system uses a machine learning based model that uses a pretrained neural network that supports multiple languages. The system determines a context of an utterance based on utterances in the conversation. The system generates responses and ranks them based on the context. The ranked responses are used to respond to the user.

Abstract: Pluggable pricing modules with functional extension points. A plurality of pricing methods are installed with a pricing service. The pricing service has a pluggable architecture to accept pricing methods including a set of pricing functions, and one or more extension points that provide programmatic hooks within an operational flow of the pricing service to provide optional interfaces to functional modules external to the pricing service. In response to a pricing request for a sales transaction, the pricing request including a pricing resolving selected pricing method for each sales item of the one or more sales items from the plurality of pricing methods. At least one of the one or more extension points are used to call an external functional module to interact with the operational flow of the pricing service. Aggregated results are provided to the source of the pricing request.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products that enable performing format-dynamic string processing in a group-based communication system.

Abstract: A journal of operations persistently stores a collection of user and machine interactions with documents, concepts within documents, and relationships/mentions among such documents and concepts. A knowledge graph or other visual expression can be used to provide an interactive format for user interactions with this information, and to visually display the accumulated information in the journal of operations on user's device of choice. Such accumulations are often called aggregations or aggregates. Both human users and computer users such as automated recommendation engines, machine learning algorithms, and the like can interact with the journal of operations to facilitate computer-assisted discovery and organization of data around a topic of interest to the human user. The resulting journal of operations and aggregations of those operations such as a knowledge graph or other visual expression(s) also provides a useful medium for sharing knowledge with other users and collaborating on investigation of a topic.

Abstract: A method and a case management system are described. The case management system enables the user to generate and update a case plan for a client of an organization. The case plan includes a set of goals and a set of action items for each one of the goals that are defined based on goal templates and action item templates.

Abstract: Techniques for enabling system redundancy for group-based communication platforms are discussed herein. In some examples, a user may post a message to a virtual space of a communication platform. The communication platform may transmit the message to virtual space servers which manage the virtual space within which the message originated. In such examples, a virtual space may be associated with a plurality of geographically distributed virtual space servers. Based on the virtual space servers receiving the message, the virtual space servers may send the message to one or more gateway servers that are subscribed to the virtual space servers. Gateway servers may be connected to client devices associated with user profiles. Upon receiving the message from the virtual space servers, the gateways servers may send the message to the recipient client devices. The recipient client devices may display the message via a user interface of the communication platform.

Abstract: A method that includes receiving a first configuration and a second configuration that define a set of rules for matching and merging a set of source data objects that are associated with a tenant and that are received from a plurality of data sources. The method may further include generating a set of merged data objects from the set of source data objects based on an identification of matching values from fields of the set of source data objects and selecting a value for each field of each merged data object having multiple values. The method may further include generating a mapping between primary keys associated with each merged data object and corresponding primary keys of the source data objects. The method may further include storing the merged data objects and the mappings in a first datastore and a second datastore that is different from the first datastore.

Abstract: Techniques are described for expediting communications between a first person of an organization associated with a communication platform and a second person not associated with the organization. The first person requests for the communication platform to generate an invitation to communicate with the second person. The first person provides the invitation to the second person directly or via the communication platform. Responsive to receiving an indication that the second person accepts the invitation, the communication platform identifies whether the second person is associated with the communication platform. If the second user is associated with the communication platform, the communication platform modifies an existing user interface associated therewith to enable communications between the first person and the second person.

Abstract: A method for a multi-tenant server to manage data in a peer-to-peer blockchain network is described. The method includes monitoring one or more fields of a first physical object of a first tenant in the peer-to-peer blockchain network to determine when one or more conditions of a smart contract have been fulfilled; determining that one or more conditions of the smart contract have been met by the first physical object of the first tenant; and performing one or more operations of the smart contract, which are associated with the one or more conditions, in response to determining that the one or more conditions of the smart contract have been met by the first physical object of the first tenant, wherein the one or more operations are performed in relation to a second physical object of a second tenant in the peer-to-peer blockchain network.

Abstract: The technology disclosed provides a so-called “joint many-task neural network model” to solve a variety of increasingly complex natural language processing (NLP) tasks using growing depth of layers in a single end-to-end model. The model is successively trained by considering linguistic hierarchies, directly connecting word representations to all model layers, explicitly using predictions in lower tasks, and applying a so-called “successive regularization” technique to prevent catastrophic forgetting. Three examples of lower level model layers are part-of-speech (POS) tagging layer, chunking layer, and dependency parsing layer. Two examples of higher level model layers are semantic relatedness layer and textual entailment layer. The model achieves the state-of-the-art results on chunking, dependency parsing, semantic relatedness and textual entailment.

Abstract: A self-managing database system includes a metrics collector to collect metrics data from one or more databases of a computing system and an anomaly detector to analyze the metrics data and detect one or more anomalies. The system includes a causal inference engine to mark one or more nodes in a knowledge representation corresponding to the metrics data for the one or more anomalies and to determine a root cause with a highest probability of causing the one or more anomalies using the knowledge representation. The system includes a self-healing engine, to take at least one remedial action for the one or more databases in response to determination of the root cause.

Abstract: A system and method for automated application programming interface (API) importation that includes receiving a selection of at least one API provider service of a set of API provider services with API integration support for a platform, retrieving a listing of APIs provided by the selected at least one API provider service, receiving a selection of at least one API from the listing of APIs, and enabling the selected at least one API for a user of the platform, in response to the selection of the at least one API.

Abstract: Configuration input for creating a new data privacy profile may be received via a graphical user interface. The configuration input may include account information specifying a plurality of web-accessible accounts. Profile data may be retrieved from the accounts by authenticating with the accounts and populating retrieved user profile data into a newly generated data privacy profile stored at a host organization. A unique SOLID compliant tag may be issued to the user, associated with the data privacy profile, and recorded on a public blockchain. One or more private portions of the data privacy profile may remain inaccessible to requestors.

Abstract: A multi-tenant computer system authenticates access to a shared datastore by a shared service running on the multi-tenant computer system. The shared service is operable to access the shared datastore to execute requests from a plurality of multi-tenant cloud computing services. The requests include an indication of a particular tenant and a particular tenant grouping indicator. Requests are authenticated by cryptographically verifying the request and verifying that the particular tenant is associated with the particular tenant grouping indicator. In response to authenticating a request, the shared service accesses the shared datastore to execute the first request.

Abstract: Embodiments described herein a code generation and understanding model that builds on a Transformer-based encoder-decoder framework. The code generation and understanding model is configured to derive generic representations for programming language (PL) and natural language (NL) in code domain via pre-training on unlabeled code corpus, and then to benefit many code-related downstream tasks with fine-tuning. Apart from the denoising sequence-to-sequence objectives widely adopted for pre-training on natural language, identifier tagging and prediction pre-training objective is adopted to enable the model to better leverage the crucial token type information from PL, which specifically are the identifiers assigned by developers.

Abstract: An application builder system includes an application builder server and a client-side application builder. The application builder server may receive, from a tenant user device, a request to store a data structure corresponding to a container component. The application builder server may identify one or more attributes of the data structure corresponding to a declarative use feature of the server. The application builder server may determine whether the data structure satisfies the declarative use feature of the server based on the attributes. The application builder server may expose the container component on the user interface based on the declarative use feature of the server. As such, a developer may upload a custom container component for use in an application builder application. Other users may download the custom container components and use the custom container component on the application builder application.

Abstract: Techniques are disclosed relating to maintaining a cache usable to locate data stored in a data structure. A computer system, in various embodiments, maintains a data structure having a plurality of levels that store files for a database. The files may include one or more records that each have a key and corresponding data. The computer system may also maintain a cache for the database whose entries store, for a key, an indication of a location of a corresponding record in a file of the data structure. In some embodiments, the computer system receives a request to access a particular record stored in the data structure where the request specifies a key usable to locate the particular record. The computer system may retrieve, from the cache via the key, a particular indication of a location of the particular record and may use the particular indication to access the particular record.

Abstract: Systems and methods are provided for storing, at a storage device communicatively coupled to a computer, one or more operations to be executed for a web browser. A closed shadow document object model (DOM) may be generated by a component of a web page to be displayed in the web browser using the one or more of the stored operations. The closed shadow DOM may be configured to receive sensitive data or restricted data. The component of the web page that receives the sensitive data or restricted data may instantiate an inline frame (iFrame) with a same domain as the component. The web page to receive the sensitive data or restricted data via the instantiated iFrame may be displayed on a displayed device from an input device communicatively coupled to the computer for a component of the web page.

Abstract: A system receives one or more software artifacts for enabling a software version change requested for a production environment associated with at least one data center location. The system stores the one or more software artifacts in a memory location of a controlled-access production repository. The system receives a first authorization determination of the one or more software artifacts from an author-user account, the author-user account associated with a developer identity that created the one or more software artifacts. The system receives a second authorization determination of the one or more software artifacts from an additional-user account. Based on the first and second authorization determinations, the system determines whether to package the one or more software artifacts into a manifest for transmission to the at least one data center location.

Abstract: Techniques are described for providing an interface for managing invitations to communicate via a communication platform. In an example, a first user can access a first interface to invite a second user to communicate via the communication platform. In response to input from the first user via the first interface, the communication platform can generate an invitation for the second user to communicate with the first user and can provide the invitation to the second user, such as by causing the invitation to be presented via a second interface. The second user can submit a response to the invitation via the second interface. The communication platform can update the first interface and the second interface based on response, such as, in examples in which the second user accepts the invitation, to reflect a newly established connection between the first user and the second user.

Abstract: Embodiments described herein provide a pipelined natural language question answering system that improves a BERT-based system. Specifically, the natural language question answering system uses a pipeline of neural networks each trained to perform a particular task. The context selection network identifies premium context from context for the question. The question type network identifies the natural language question as a yes, no, or span question and a yes or no answer to the natural language question when the question is a yes or no question. The span extraction model determines an answer span to the natural language question when the question is a span question.

Abstract: A method provides visual analysis of datasets. The method is performed at a computer system. A user selects a data source. In response, the system presents a natural language interface for analysis of data in the data source and presents a map data visualization within the graphical user interface for selecting geospatial data points from the data source. In response to receiving a first user input to select a first set of one or more geographic regions, the system calculates the similarity between the first set of one or more geographic regions and a second set of one or more geographic regions, based on a range of socio-economic, demographic, and/or geographic data fields from the data source, using one or more statistical techniques (e.g., Jensen-Shannon Divergence (JSD)). The system then updates and displays the map data visualization according to the calculated similarity.

Abstract: The technology disclosed describes systems and methods for generating feature vectors from resource description framework (RDF) graphs. Machine learning tasks frequently operate on vectors of features. Available systems for parsing multiple documents often generate RDF graphs. Once a set of interesting features to be considered has been established, the disclosed technology describes systems and methods for generating feature vectors from the RDF graphs for the documents. In one example setting, a machine learning system can use generated feature vectors to determine how interesting a news article might be, or to learn information-of-interest about a specific subject reported in multiple articles. In another example setting, viable interview candidates for a particular job opening can be identified using feature vectors generated from a resume database, using the disclosed systems and methods for generating feature vectors from RDF graphs.

Abstract: A computer-readable media, system, and method for providing role-based access management to channels within a group-based communication system. Role-based access management allows for a plurality of roles to be established and for users to be associated with these roles. Roles may be associated with sets of permissions allowing users assigned to the respective role to perform various actions within the group-based communication system. The group-based communication system may include preset, system roles with predetermined permissions and custom, user-defined roles may be created by administrators within the group-based communication system.

Abstract: The system and method are directed to a prototypical contrastive learning (PCL). The PCL explicitly encodes the hierarchical semantic structure of the dataset into the learned embedding space and prevents the network from exploiting low-level cues for solving the unsupervised learning task. The PCL includes prototypes as the latent variables to help find the maximum-likelihood estimation of the network parameters in an expectation-maximization framework. The PCL iteratively performs an E-step for finding prototypes with clustering and M-step for optimizing the network on a contrastive loss.

Abstract: Various examples of the present disclosure can be directed to programmatically generating and rendering for display a context pane within a group-based communication interface. In some examples, the context pane comprises context pane content representative of channel membership associated with a communication channel identifier with which the group-based communication interface is associated. Group-based communication objects of a group-based communication data corpus can be utilized (e.g., by way of a trained machine learning model and/or work graph data structures) to inform the determination of context pane content.

Abstract: Mechanisms and techniques for providing an isolated runtime environment are disclosed. Scoped properties are generated utilizing a namespace identifier. The namespace identifier is an identifier used to define a scope of at least an isolated application runtime context. Scoped objects are generated corresponding to one or more dependent services utilizing the one or more scoped properties and the namespace identifier. A target application is deployed to a container corresponding to the isolated application runtime context. The target application interacts with at least some of the dependent services utilizing the namespace identifier. At least one integration test is run on the target application in the container. The integration tests refer to the isolated application runtime context utilizing the namespace identifier.

Abstract: Methods and apparatus for updating a denormalized database object after updating, deleting, or inserting a record in a source database object are described. A first operation on a source database object that involves a record of the source database object being updated, deleted, or inserted is performed. A first part of a corresponding second operation involving a respective record of the denormalized database object being updated, deleted, or inserted is performed. A query result that references an aggregate field of a set of records in the denormalized database object is altered. The altering includes an aggregation operation using values in the query result being performed and altering that part of the query result that includes the aggregate field of the set of records. A second part is optionally performed to complete the corresponding second operation and update the denormalized database object.

Abstract: A system executes a set of database operations and determines counts of instances that each key is specified for a corresponding column by any database operations on a database table. The system identifies each key which is associated with any determined count that satisfies a threshold as a corresponding frequently accessed key. The system creates an optimized index for each column which stores any frequently accessed key. The system inserts each frequently accessed key into a corresponding optimized index. The system receives a database operation that specifies a specific key for a specific column in the database table. If any optimized index matches the specific column and stores any frequently accessed key that matches the specific key, then the system references a matching frequently accessed key in a matching optimized index to access a record, which is associated with the specific column and the specific key, via the database table.

Abstract: To deliver up-to-date, coherent user data to applications upon request, the disclosed technology includes systems and methods for caching data and metadata after it has been synchronously loaded—for future retrieval with a page load time close to zero milliseconds. To provide this experience, data needs to be stored as locally to a user as possible, in the cache on the local device or in an edge cache located geographically nearby, for use in responding to requests. Applications which maintain caches of API results can be notified of their invalidation, and can detect the invalidation, propagate the invalidation to any further client tiers with the appropriate derivative type mapping, and refresh their cached values so that clients need not synchronously make the API requests again—ensuring that the client has access to the most up-to-date copy of data as inexpensively as possible—in terms of bandwidth and latency.

Abstract: Computer-readable media, method, and system for inviting a plurality of users to a group-based communication channel within a group-based communication system. The plurality of users are invited by transmitting a respective plurality of invitations to the users upon a sending user instruction. The outcome of a user accepting an invitation may be determined based on an approval privilege of the user and a status of the group-based communication channel.

Abstract: A system for storing multiple petabytes of raw log data from cloud-based source data buckets into internal partitioned data storage in a data lake is provided. The system is configured to: deploy a log partitioner cluster comprising a plurality of log partitioner service instances for storing the raw log data in a partitioned manner; associate one or more of the source data buckets to each of a plurality of deployed log partitioner service instances by providing associated configuration metadata from a configuration service; fetch, via the log partitioner cluster, raw log data from associated source data buckets based on the associated configuration metadata, wherein the associated configuration metadata provides instructions for use by a log partitioner service instance to onboard raw log data; and place fetched raw log data, via the log partitioner cluster, in the internal partitioned log storage in accordance with the associated configuration metadata.

Abstract: Database environments may choose to schedule complex analytics processing to be performed by specialized processing environments by caching source datasets or other data needed for the analytics and then outputting results back to customer datasets. It is complex to schedule user database operations, such as running dataflows, recipes, scripts, rules, or the like that may rely on output from the analytics, if the user database operations are on one schedule, while the analytics is on another schedule, User / source datasets may become out of sync and one or both environments may operate on stale data.

Abstract: Computing systems, database systems, and related methods are provided for managing data pertaining to electronic messages. A database system includes a database including a first object having a plurality of content fields corresponding to a first instance of an electronic message configured for a first communication channel and a server coupled to the database and a network to create a second database object corresponding to a second instance of the electronic message configured for a different communication channel, create a multichannel data structure in the database maintaining an association between the first and second objects, automatically populate a subset of content fields of the second object with values copied from the first object based on a mapping between the two communication channels, and thereafter use the second object to generate a version of the electronic message to be communicated to a recipient using the second communication channel.

Abstract: Devices, systems and methods are provided for remotely managing configuration of a networking device. One method of managing configuration of a networking device involves obtaining resources associated with one or more graphical user interface (GUI) displays of a web application for configuring the networking device, receiving a request to access the web application, and in response to the request, determining a representative value for the resources as a function of a current state of the resources, obtaining a reference value for the resources that reflects a validated state of the resources, and instantiating the web application using the resources when the representative value matches the reference value.

Abstract: A method for data processing includes displaying, at a user interface, a plurality of attributes that are defined by a data model configured for a tenant of a multi-tenant system. The plurality of attributes includes a one-to-many attribute that is configured to support multiple inputs and a direct attribute configured to support a single input. The method may further include receiving a selection of a first one-to-many attribute for defining an expression for identifying a segment of entities. The method may further include activating, for selection at the user interface, a subset of the attributes based on each attribute of the subset being dependent on the first attribute. The method may further include receiving an indication of the expression, executing a database query to identify the segment of entities, and transmitting, to a content communication system, an indication of the segment of entities.

Abstract: A request to present digital content at a client machine associated with a designated network identifier may be received. For each of a plurality of preference characteristics, a respective characteristic query message may be transmitted via a network to a respective plurality of identity nodes via a gossip communication protocol defining a peer-to-peer procedure for transmitting information among the plurality of identity nodes. For each of the plurality of preference characteristics, a respective preference identification response message that includes a respective preference value corresponding with the respective preference characteristic may be received. The designated network identifier may be stored in a trust ledger shared among the plurality of identity nodes. A digital content item may be selected based at least in part on the preference values.

Abstract: A multi-tenant system performs custom configuration of a tenant-specific chatbot to process and act upon natural language requests. The multi-tenant system configures the tenant-specific chatbots without requiring tenant-specific training. The multi-tenant system providing a user interface for configuring a tenant-specific set of permitted actions. The multi-tenant system determines a set of example phrases for each of the selected permitted actions. The multi-tenant system receives a natural language request from a user and identifies the action that the user wants to perform. The multi-tenant system uses a neural network to compare the natural language request with example phrases to identify an example phrase that matches the natural language request. The multi-tenant system performs the action corresponding to the matching example phrase.

Abstract: Techniques are described for expediting a generation of a means of communication between two people associated with different organizations. A first person associated with a communication platform may submit a request to the communication platform to generate an invitation to communicate via the communication platform. The first person may provide the invitation to a second person directly or via the communication platform. Responsive to receiving an indication that the second person has accepted the invitation, the communication platform may generate the means of communication between the first person and the second person. The communication platform may update respective user interfaces to include the means of communication. The communication platform may process messages and/or data between the first person and the second person that is input on the respective user interface and sent via the means of communication.

Abstract: A method and system for handling asynchronous data streams in a multi-tenant system. The process includes receiving at least a first stream of data and a second stream of data by a rules engine, determining by pattern matching of the rules engine, whether data in the first stream or data in the second stream meet conditions of a rule defined by a tenant of the multi-tenant system, and implementing by the rules engine the rule including a set of actions to modify data from the second data stream, in response to the data in the first stream matching the conditions the rule.

Abstract: An adaptive document curation method. A machine learning model is trained on a first library of documents to assign staleness scores to documents, each indicating a confidence that the document to which it is assigned should be archived. If a document has a staleness score at least equal to a threshold, the document is identified as a candidate to be archived or deleted.

Abstract: In some embodiments, a method stores an executable contract in a ledger. The executable contract is for a test to be performed on a network and includes terms for the test. The method receives an indication of traffic that is received at a network device. It is determined that the traffic is associated with the executable contract that is stored in the ledger based on the terms of the test. The method responds to the network device with a response indicating that the traffic is associated with the executable contract. The network device allows the traffic to be sent to a destination on the network to perform an operation for the test.

Abstract: Disclosed herein are system, method, and computer program product embodiments for automatically detecting layout shifts or anomalies in a website during localization processes. A method includes generating a first rendering of a localization element on a website, extracting localized text from a localization descriptor for the localization element in code for the website, applying the localized text to the localization element on the website, generating a second rendering of the localization element on the website after the applying of the localized text, identifying an anomaly in the localization element displayed on the website by comparing the first and second renderings, and creating a visual indicator for display as an overlay outside a visible area of the website, wherein a location of the visual indicator corresponds to a location of the anomaly in the localization element displayed on the website.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing a non-obtrusive markup augmentation of websites during website localization. A method includes generating a localization descriptor for a localization element on a website, encoding the localization descriptor into unparsed syntax in code for the website, adding pseudo tag notations to the localization descriptor encoded in the unparsed syntax, extracting text that is being localized from the localization descriptor by identifying the pseudo tag notations, and creating a visual indicator for display as an overlay outside a visible area of the website to indicate a change in appearance of the website after localization, wherein a size of the visual indicator is scaled to match a size of the text as displayed in the visible area of the website when the code is rendered.