Abstract:
A method includes receiving a user query and performing, using at least one processor, multiple rounds of an answer generation process. Each round of the answer generation process includes selecting one of multiple functions to be performed based on an input state. The input state for each round includes an embedding of the user query in a feature space. The input state for at least one round also includes an embedding of information to be used to identify an answer to the user query in the feature space. Each round of the answer generation process also includes performing the selected function. The multiple functions include (i) an answer generation function that produces the answer to the user query and (ii) at least one additional function that updates the input state for a current round for use during a subsequent round. In addition, the method includes providing the answer to the user.
Abstract:
A system determines intent values based on an object in a received phrase, and detail values based on the object in the received phrase. The system determines intent state values based on the intent values and the detail values, and detail state values and an intent detail value based on the intent values and the detail values. The system determines other intent values based on the intent values and another object in the received phrase, and other detail values based on the detail values and the other object in the received phrase. The system determines a general intent value based on the other intent values, the other detail values, and the intent state values, and another intent detail value based on the other intent values, the other detail values, and the detail state values.
Abstract:
An electronic device for active learning includes at least one memory and at least one processor coupled to the at least one memory. The at least one processor is configured to select one or more entries from a data set including unlabeled data based on a similarity between the one or more entries and labeled data. The at least one processor is further configured to cause the one or more entries to be labeled.
Abstract:
A method includes retrieving, at an electronic device, a first natural language (NL) input. An intent of the first NL input is undetermined by both a generic parser and a personal parser. A paraphrase of the first NL input is retrieved at the electronic device. An intent of the paraphrase of the first NL input is determined using at least one of: the generic parser, the personal parser, or a combination thereof. A new personal intent for the first NL input is generated based on the determined intent. The personal parser is trained using existing personal intents and the new personal intent.
Abstract:
A method for action automation includes determining, using an electronic device, an action based on domain information. Activity patterns associated with the action are retrieved. For each activity pattern, a candidate action rule is determined. Each candidate action rule specifies one or more pre-conditions when the action occurs. One or more preferred candidate action rules are determined from multiple candidate action rules for automation of the action.
Abstract:
One embodiment provides a method comprising receiving general private data identifying at least one type of privacy-sensitive data to protect, collecting at least one type of real-time data, and determining an inference privacy risk level associated with transmitting the at least one type of real-time data to a second device. The inference privacy risk level indicates a degree of risk of inferring the general private data from transmitting the at least one type of real-time data. The method further comprises distorting at least a portion of the at least one type of real-time data based on the inference privacy risk level before transmitting the at least one type of real-time data to the second device.
Abstract:
A computing system includes: a control unit configured to: determine a protocol profile including a first protocol and a second protocol for communicating between a first device and a second device, generate a unified-protocol privacy mechanism for a privacy protection scenario, the unified-protocol privacy mechanism based on combining the first protocol and the second protocol; and a communication unit, coupled to the control unit, configured to communicate content information according to the unified-protocol privacy mechanism between the first device and the second device.
Abstract:
A system for equality testing, the system comprising a first client device including a first private data unit, a second client device including a second private data unit, and a server. The server receives a first obfuscated data unit corresponding to the first private data unit from the first client device, and a second obfuscated data unit corresponding to the second private data unit from the second client device. The server performs a vector calculation based on the first and second obfuscated data units to generate a combination of the first and second obfuscated data units. The server sends the combination to the first client device. The first client device is configured to determine whether the first private data unit is equal to the second private data unit based on the combination.
Abstract:
An electronic system includes: a control unit configured to: calculating a risk score based on a permission requested by an application, generating a summary presentation based on the risk score for presenting a risk visualization of a privacy risk posed by an application, generating a subcategory presentation based on the risk score for presenting the risk visualization of the privacy risk posed to a device feature by the application, and a user interface, coupled to the control unit, configure to present a risk presentation including the summary presentation, the subcategory presentation, or a combination thereof for displaying on a device.
Abstract:
A computing system includes a context module configured to determine a sharing context; an option module, coupled to the context module, configured to generate a sharing option for the sharing context based on a default set for the sharing context, a user's past sharing selection for the sharing context, and a personalization degree for the sharing context; and a privacy preference module, coupled to the option module, configured to estimate a user's privacy preference based on the sharing option.