In one embodiment, a method includes receiving a user request from a first user from a client system associated with a first user, wherein the user request comprise a gesture-input from the first user and a speech-input from the first user, determining an intent corresponding to the user request based on the gesture-input by a personalized gesture-classification model associated with the first user, executing one or more tasks based on the determined intent and the speech-input, and sending instructions for presenting execution results of the one or more tasks to the client system responsive the user request.

Methods and systems for generating a search expression. The system begins with an empty search expression, and iteratively expands the search expression until some terminating condition is reached.

In one embodiment, a method includes receiving a user query associated with dialog-intents at a client system, executing tasks corresponding to the dialog-intents, generating a multi-perspective response by a stitching model based on two or more of execution results of the tasks, wherein the multi-perspective response comprises a natural-language response combining the two or more execution results, and presenting the multi-perspective response at the client system.

In one embodiment, a method includes receiving a request to access a first record in a plurality of records, where the first record describes a first set of attributes of a first entity, determining the first record is linked to a globally unique entity identifier, identifying one or more second records linked to the unique entity identifier, where the one or more second records describe one or more second sets of attributes of the first entity, generating a fused record comprising descriptions of attributes of the first entity from the first set and second sets of attributes, where the fused record is generated by deduping the plurality of records to associated the first record and the one or more second record with the unique entity identifier and compiling the first set and one or more second sets of attributes, and sending, in response responsive to the request to access the first record, instructions for presenting the fused record.

In one embodiment, a method includes receiving a user request from a client system associated with a first user, wherein the user request is associated with a semantic-intent, identifying one or more dialog-intents associated with the user request based on the semantic-intent and context information associated with the user request, wherein each dialog-intent is a sub-intent of the semantic-intent, determining one or more agents for executing one or more tasks associated with the one or more dialog-intents, and sending instructions for presenting information returned from the one or more agents responsive to executing the one or more tasks to the client system.

A method includes obtaining parameters and a document, determining a domain based on the parameters, where the domain maps to a first ontology, and where ontologies map n-grams onto a set of concepts. The method includes scoring a first set of n-grams of the document using a scoring model based on relations between members of the first set of n-grams, selecting sections of the text based on n-gram scores provided by the scoring model, and determining an initial n-gram set, where each respective n-gram of the initial n-gram set maps to a respective concept of the set of concepts, and where each respective n-gram is identified by an ontology other than the first ontology. The method includes determining related n-grams mapped to the set of concepts associated with the domain and generating a text summary for the document based on the sections and the related n-grams.

The method of no fail searching may include receiving a set of keywords from an input set of search fields within a GUI, retrieving a set of search results based on the set of keywords from the input set of search fields, organizing the set of search results according to a set of content types, ranking each search field according to the set of content types, removing the lowest ranked search field from the set of keywords to create a broadened set of search fields when at least one content type has zero results, repeating the retrieving, organizing, ranking, and removing steps until either each content type contains a threshold amount of search results or all search fields have been removed, wherein the broadened set of search fields is used as the input set of search fields in subsequent retrieving steps.

Disclosed herein are enterprise applications and platforms that manage databases containing documents and may employ search systems that allow users to retrieve documents based on queries. The search systems may be configured to retrieve data from several different data sources and may be associated with many of the applications. Furthermore, the search systems may include a faceted interface based on database or document attributes for further search refinement. The faceted interface may be template-based and modular, allowing reconfiguration of the interfaces without substantial rewriting of the application code base.

In one embodiment, a method includes, by a client system, receiving a user input from the first user of an online social network, where the user input is associated with a subject and an intent, determining whether one or more agents associated with the intent are able to resolve the user input, identifying, responsive to determining that the one or more agents are not able to resolve the user input, one or more entities related to the subject, where each identified entity is connected to the first user via the online social network, and presenting, at the client system, one or more recommendations to the first user corresponding to the one or more entities.

An embodiment may involve persistent storage containing an ordered set of queries that are respectively associated with textual prompts, visibility indicators, definitions of answer formats, and zero or more dependencies on other queries in the ordered set of queries. One or more processors may be configured to iterate through the ordered set of queries, and for a query therein: retrieve the query; determine that the query has a dependency on a previous query; modify a textual prompt of the query, a visibility indicator of the query, or a definition of an answer format of the query; determine that the visibility indicator specifies that the query is visible; provide, by way of a conversational interface, the textual prompt; receive, by way of the conversational interface, an input in response to the textual prompt; verify that the input matches the definition of the answer format; and store the input.