Methods, apparatus, systems, and computer-readable media are provided for providing context specific schema files that allow an automated assistant to broker human-to-computer dialogs between a user and an application that is separate from the automated assistant. The context specific schema file can provide the automated assistant with sufficient data to be responsive to user queries without necessarily communicating with a remote device, such as a server. Multiple different context specific schema files can be made available to the automated assistant according to a context in which a user is interacting with the automated assistant. In this way, latency otherwise exhibited by the automated assistant can be mitigated by providing the automated assistant with the information needed to respond to a user without continually retrieving the information over a network.

In one embodiment, a method includes receiving an initial input in a first modality from a first user at a client system, determining intents and slots corresponding to the initial input, wherein the slots are conditioned on the intents, generating one or more candidate continuation-inputs based on the intents and slots, where the one or more candidate continuation-inputs are in one or more candidate modalities, respectively, wherein the candidate modalities are different from the first modality, and wherein each of the candidate continuation-inputs references entities represented by the slots, and presenting one or more suggested inputs corresponding to one or more of the candidate continuation-inputs at the client system.

Provided is a computer-implemented process including obtaining a corpus of natural-language text documents, automatically generating questions about information in corresponding portions of the documents, and associating the questions with the corresponding portions of the documents. The process further includes storing the questions and the associations with the corresponding portions of the documents in memory to form an index of automatically-generated questions to corresponding portions of documents that answer the questions.

A method includes receiving a search query including clause text to be searched and executing the search query against the database. The method includes receiving a set of results, the set of results including documents that include a version of the clause text, and normalizing the set of search results. The method includes grouping the normalized set of search results into one or more groups of results, each group including documents containing a version of the clause text that is semantically equivalent to each other document in the group. The method includes receiving an indication of a selection of a particular group from among the one or more groups of results and causing display of at least a portion of the particular version of the clause text.

The present invention relates to a terminal for providing a patent search and a control method therefor, a server for providing patent search and a control method therefor, and a patent search system and a control method therefor, and, to a terminal for providing a patent search and a control method therefor, a server for providing patent search and a control method therefor, and a patent search system and a control method therefor, all of which enable anyone to easily search for an idea that is looked for.

Systems and methods are described for automatically generating natural language queries and chatbot-assisted responses to the queries. A server may generate observed fact data structures from numeric-type data columns of a data set received from a client device over a network connection. From the generated observed facts, a subset of priority observed facts may be identified based on a plurality of priority factors associated with each observed fact. To generate actionable text recommendations, the server may combine one of the priority observed facts with a natural language template retrieved from a template database. The resulting populated natural language template may then be augmented with a selected call to action query selected based on a received user explanation type. The chatbot service may then cause a text recommendation to be transmitted to a user device that is responsive to the format and values contained within the augmented natural language template.

In one embodiment, a method includes detecting a user input comprising an incomplete three-dimensional (3D) gesture performed by one or more hands of a first user by a virtual-reality (VR) headset, selecting candidate 3D gestures from pre-defined 3D gestures based on a personalized gesture-recognition model, wherein each of the candidate 3D gestures is associated with a confidence score representing a likelihood the first user intended to input the respective candidate 3D gesture, and presenting one or more suggested inputs corresponding to one or more of the candidate 3D gestures at the VR headset.

In one embodiment, a method includes, by a client system, receiving, at the client system, a first user input, processing by the client system, the first user input to provide an initial response by identifying one or more entities referenced by the first user input and providing, by the client system, the initial response, where the initial response includes a conversational filler referencing at least one of the one or more identified entities, processing the first user input to provide a complete response by identifying, by the client system, one or more intents and one or more slots associated with the first user input based on a semantic analysis by a natural-language understanding module, and providing, by the client system, the complete response subsequent to the initial response, where the complete response is based on the one or more intents and the one or more slots.

In one embodiment, a method includes, by a client system, receiving, by an assistant xbot of the client system, a request from a first user for a summary of user content from a first content source, retrieving, from the first content source, a plurality of content items corresponding to the request, generating a personalized summary of the retrieved content items, wherein the personalization of the summary is based on a user profile of the first user, and presenting, by the assistant xbot, the personalized summary responsive to the request within a separate communication interface between the assistant xbot and the first user, wherein the personalized summary is interactable by the first user to react to one or more of the plurality of content items.

In one embodiment, a method includes receiving an indication of a trigger action by a first user at a client system, wherein the trigger action is associated with a priming content object, identifying related content objects associated with the priming content object, selecting recommended content objects based on the priming content object, the related content objects, and profile information of the first user, wherein each of the selected recommended content objects comprises entity information of entities associated with the priming content object, and presenting content suggestions at the client system, wherein each content suggestion comprises one of the selected recommended content objects.