Execution Engine for Compositional Entity Resolution for Assistant Systems

    公开(公告)号:US20210326391A1

    公开(公告)日:2021-10-21

    申请号:US17362676

    申请日:2021-06-29

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving, from a client system of a user, a user input comprising a plurality of n-grams, parsing the user input to identify one or more overall intents, hidden intents, and slots associated with the one or more n-grams, wherein at least one of the hidden intents is non-resolvable for being associated with partial slot information corresponding to an n-gram that has not been resolved to a particular entity identifier, wherein the partial slot information is associated with two more entity identifiers of two or more entities, respectively, sending, to the client system, instructions for prompting the user to select one of the entities to be associated with the non-resolvable hidden intent, resolving the non-resolvable hidden intent based on the entity identifier of the entity selected by the user, and generating a response to the user input based on the resolved hidden intent.

    Processing Multimodal User Input for Assistant Systems

    公开(公告)号:US20190325080A1

    公开(公告)日:2019-10-24

    申请号:US16053600

    申请日:2018-08-02

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving from a client system associated with a first user a user input based on one or more modalities, at least one of which is a visual modality, identifying one or more subjects associated with the user input based on the visual modality based on one or more machine-learning models, determining one or more attributes associated with the one or more subjects respectively based on the one or more machine-learning models, resolving one or more entities corresponding to the one or more subjects based on the determined one or more attributes, executing one or more tasks associated with the one or more resolved entities, and sending instructions for presenting a communication content including information associated with the executed one or more tasks responsive to user input to the client system associated with the first user.

    Execution engine for compositional entity resolution for assistant systems

    公开(公告)号:US11093551B1

    公开(公告)日:2021-08-17

    申请号:US16129638

    申请日:2018-09-12

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes, by one or more computing systems, receiving a user input comprising a plurality of n-grams from a user of a client system, generating a tree-structured representation for the user input based on a parsing by a compositional model, resolving the tree-structured representation by applying a depth-first search algorithm, wherein the tree-structured representation comprises one or more non-resolvable non-terminal nodes associated with one or more slots, and wherein each non-terminal parent node of a non-resolvable non-terminal node is partially resolved based on partial slot information associated with the non-resolvable non-terminal node, and wherein each non-resolvable non-terminal node is resolved based on the respective partially resolved non-terminal parent node of the non-resolvable non-terminal node, generating a response to the user input based on the resolved tree-structured representation, sending instructions for presenting the response to the client system of the user.

    Ephemeral Content Digests for Assistant Systems

    公开(公告)号:US20210232589A1

    公开(公告)日:2021-07-29

    申请号:US17227210

    申请日:2021-04-09

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, by an assistant xbot associated with the one or more computing systems, a user request for a content digest, retrieving one or more content objects corresponding to the user request, generating one or more slides for the one or more retrieved content objects, respectively, and providing, by the assistant xbot, instructions for presenting the content digest responsive to the request from the first user, wherein the content digest comprises the one or more slides, and wherein one or more of the slides of the content digest are removed from the content digest after a predetermined time period.

    Ephemeral content digests for assistant systems

    公开(公告)号:US11003669B1

    公开(公告)日:2021-05-11

    申请号:US16151040

    申请日:2018-10-03

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes, by one or more computing systems, receiving, from a client system associated with a user, a request from the user for a content digest from an online social network, retrieving one or more content objects associated with the online social network that are accessible by the user, selecting one or more of the retrieved content objects to incorporate into the content digest based on their identified categories, generating one or more slides for the one or more selected content objects, respectively, wherein each slide comprises a summary and representative image of the respective selected content object, sending, to the client system of the user, instructions for presenting the content digest responsive to the request from the user, wherein the content digest comprises the one or more slides.

    Aggregating Semantic Information for Improved Understanding of Users

    公开(公告)号:US20190327331A1

    公开(公告)日:2019-10-24

    申请号:US15967342

    申请日:2018-04-30

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes receiving a user input by the first user from a client system associated with a first user, parsing the user input to identify one or more n-grams associated with the user input, accessing a user profile associated with the first user, wherein the user profile is stored in a first data store, accessing ontology data based on the one or more identified n-grams from one or more information graphs, wherein the one or more information graphs are stored in one or more second data stores, respectively, determining contextual information associated with the user input, generating semantic information by aggregating the user profile, ontology data, and contextual information, generating a feature representation for the identified one or more n-grams based on the semantic information, and resolving one or more entities associated with the one or more n-grams based on the feature representation.

    Building Customized User Profiles Based on Conversational Data

    公开(公告)号:US20190327330A1

    公开(公告)日:2019-10-24

    申请号:US15967239

    申请日:2018-04-30

    Applicant: Facebook, Inc.

    Abstract: In one embodiment, a method includes accessing a plurality of content objects associated with a first user from an online social network, accessing a baseline profile, wherein the baseline profile is based on ontology data from one or more information graphs, accessing conversational data associated with the first user, determining one or more subjects associated with the first user based on the plurality of content objects and conversational data associated with the first user, and generating a customized user profile for the first user based on the baseline profile, wherein the user profile comprises one or more confidence scores associated with the respective one or more subjects associated with the first user, wherein the one or more confidence scores are calculated based on the plurality of content objects associated with the first user and the conversational data associated with the first user.

Patent Agency Ranking