G06F17/27

METHOD AND SYSTEM FOR GENERATING PHONETICALLY SIMILAR MASKED DATA

A method and system is provided for generating a group of phonetically similar masked data. The present application provides a method and system for generating a group of phonetically similar masked data; comprises preprocessing of input dataset values comprising a list of fictitious data values to be used as masked data; determining a plurality of groups of phonetically similar data values present in the dataset list; and deriving metaphone for each input data value to be masked; generating a first numeric code from derived metaphone value of input data value to be masked; selecting one group of phonetically similar data values out of the plurality of groups of phonetically similar data values based on the generated first numeric code; and generating a second numeric code from input data value for selecting a masked value from a plurality of fictitious data group.

SYSTEMS AND METHODS FOR BUILIDING STATE SPECIFIC MULTI-TURN CONTEXTUAL LANGUAGE UNDERSTANDING SYSTEMS

Systems and methods for building a dialog-state specific multi-turn contextual language understanding system are provided. More specifically, the systems and methods infer or are configured to infer a state-specific schema and/or state-specific rules from a formed single-shot language understanding model and/or a single-shot rule set. As such, the systems and methods only require the information necessary to form a single-shot language understanding model and/or a single-shot rule set from a builder to form or build the dialog-state specific multi-turn contextual language understanding system. Accordingly, the systems and methods for building a dialog-state specific multi-turn contextual language understanding system reduce the expertise, time, and resources necessary to build a dialog-state specific multi-turn contextual language understanding system for an application when compared to systems and methods that require further input from the builder than necessary to build a single-shot language understanding system.

CULTURALLY-AWARE COGNITIVE SYSTEM FOR HUMAN INTERACTIONS

A mapping is constructed between a node of a cultural hierarchy and a node of an organizational hierarchy. The cultural hierarchy is a data structure representing an arrangement of characteristics of different social levels relative to one another in a culture. The organizational hierarchy is a data structure representing an arrangement of characteristics of different roles of people relative to one another in a group. A set of cultural attributes is constructed to represent a persona of a human user according to mapping. Using a cultural attribute, an adjustment rule is selected from a library. A machine output is modified according to the adjustment rule. The machine output is in response to a dialog between a data processing system and human user in a machine-human interaction. The adjusted output is transformed and presented as a response to the human user in the machine-human interaction.

PLATFORM MANAGEMENT OF INTEGRATED ACCESS OF PUBLIC AND PRIVATELY-ACCESSIBLE DATASETS UTILIZING FEDERATED QUERY GENERATION AND QUERY SCHEMA REWRITING OPTIMIZATION

Various techniques are described for platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization, including receiving at a dataset access platform a query formatted according to a first data schema, generating a copy of the query, saving the query and the copy to a datastore, parsing the copy of the query in the first schema using an inference engine, determining whether the query comprises data associated with an access control condition associated with accessing the dataset, the access control condition being configured to indicate whether the query is permitted to access the dataset, and rewriting, using a proxy server, the copy of the query in a second schema by converting the copy of the query into a triple associated with the query and another triple associated with the access control condition.

PROCESSING METHOD, PROCESSING SYSTEM, AND STORAGE MEDIUM
20170364310 · 2017-12-21 ·

A processing method executed by a processor that receives an order from a user at a restaurant through interaction includes analyzing information indicating the order, extracting a phrase other than a standard element from the information, with reference to a first database when the extracted phrase is a first phrase in the first database, outputting a first confirmation item corresponding to the first phrase to the user, receiving a first user response corresponding to the first confirmation item, when the extracted phrase is not a first phrase in the first database, referring to a second database, when the extracted phrase is a second phrase in the second database, selecting a third phrase in the first database from second phrase-related phrases, outputting a second confirmation item corresponding to the third phrase to the user referring to the first database, and receiving a second user response corresponding to the second confirmation item.

ENHANCED TEXT METADATA SYSTEM AND METHODS FOR USING THE SAME
20170364484 · 2017-12-21 · ·

Apparatuses and methods for enhanced text metadata systems are described herein. In a non-limiting embodiment, a camera on an electronic device may be activated in response to receiving a signal indicating a message is being inputted by a user. While receiving the message, a camera may capture an image of the user. This image may be analyzed to determine an emotion the user is feeling when inputting the message. Once an emotion of the user is determined, the message will be altered to reflect the emotion the user is feeling.

Contextual Content Graph for Automatic, Unsupervised Summarization of Content

A method, system and computer-usable medium are disclosed for using a contextual graph to summarize a corpus of content. Natural Language Processing (NLP) preprocessing operations are performed on text within an input corpus to form a grammatical analysis. In turn, the grammatical analysis is used to generate semantic associations between phrases in the input corpus. The resulting semantic associations are then used to determine the thematic relevance of the individual sentences in the input corpus to form a context-based ranking. In turn, the context-based ranking is used to construct a context graph, the vertices of which are represented by phrases, and the edges are represented by an aggregate score resulting from performing calculations associated with semantic similarity of the phrases. The resulting context graph is then used to generate a content summarization for the input corpus.

PRESENTING COLLABORATION SUMMARIES OF ARTIFACTS TO IMPROVE ENGAGEMENT OF USER IN COLLABORATION ACTIVITIES
20170364588 · 2017-12-21 ·

A method, system and computer program product for improving the engagement of the user in collaboration activities. A collaboration mechanism detects a request to select an artifact (community, file) by a user in a communication system. The collaboration mechanism analyzes the communication system for collaboration activities (e.g., postings) related to the selected artifact to determine a list of related artifacts. The collaboration mechanism then determines the collaboration activities for each artifact in the list of related artifacts. The collaboration mechanism then analyzes the determined collaboration activities for each artifact in the list of related artifacts to form a collaboration summary (summary of the collaboration activities) for each artifact which is presented to the user. As a result of presenting such a collaboration summary to the user, the user is more likely to engage in collaborative activities with other artifacts since they are related to the artifact selected by the user.

PROPAGATION OF CHANGES IN MASTER CONTENT TO VARIANT CONTENT

A method for propagating changes from master content to variant content includes receiving, from a user interface, a modified master text composition that incorporates changes to a master text composition. Each of the master text composition, the modified master text composition, and a variant text composition assigned to the master text composition are divided into text units. A correspondence model is constructed that includes mappings between the text units of the master text composition, the text units of the modified master text composition, and the text units of the variant text composition. Proposed changes to the variant text composition are determined that correspond to the changes to the master text composition based on the mappings. At least one of the proposed changes is integrated into the variant text composition.

PLATFORM MANAGEMENT OF INTEGRATED ACCESS OF PUBLIC AND PRIVATELY-ACCESSIBLE DATASETS UTILIZING FEDERATED QUERY GENERATION AND QUERY SCHEMA REWRITING OPTIMIZATION

Various techniques are described for platform management of integrated access of public and privately-accessible datasets utilizing federated query generation and query schema rewriting optimization, including receiving at a dataset access platform a query formatted according to a first data schema, generating a copy of the query, saving the query and the copy to a datastore, parsing the copy of the query in the first schema using an inference engine, determining whether the query comprises data associated with an access control condition associated with accessing the dataset, the access control condition being configured to indicate whether the query is permitted to access the dataset, and rewriting, using a proxy server, the copy of the query in a second schema, and optimizing the rewriting by identifying a database engine to execute the query and including other data converted into another triple associated with an attribute of the query.