Maluuba Inc.

Microsoft Technology Licensing, LLC

Tareq Ismail

Kaheer Suleman

Wilson Hsu

Andrew James McNamara

Zhiyuan Wu

Joshua R Pantony

James Simpson

Sam Pasupalak

Phil Tregenza

Matthew Mitchell Dixon

Justin Harris

A method, system, and computer program product provide a conversation agent to process natural language queries expressed by a user and perform commands according to the derived intention of the user. A natural language processing (NLP) engine derives intent using conditional random fields to identify a domain and at least one task embodied in the query. The NLP may further identify one or more subdomains, and one or more entities related to the identified command. A template system creates a data structure for information relevant to the derived intent and passes a template to a services manager for interfacing with one or more services capable of accomplishing the task. A dialogue manager may elicit more entities from the user if required by the services manager and otherwise engage in conversation with the user. In one embodiment, the conversational agent allows a user to engage in multiple conversations simultaneously.

Conversational agent

A computer-implemented method, system using at least one computing device, and computer program product are disclosed for linking an ontology provided by a content service with a word expansion ontology. The content service ontology is referred to as a category ontology and the word expansion ontology is referred to herein as a lexical ontology. A user may provide an input such as an input command to an application. The input command is processed by a natural language processing engine to derive the user's intent and to extract relevant entities embodied in the command. The NLP engine may create a composite concept set containing multiple permutations of the concepts (entities extracted) and provide the composite concept set to a concept mapper. The concept mapper applies searches an ontology map and applies one or more scoring operations to determine a best match between the composite concept set and at least one category provided by the category ontology. The content service is searched using the category and the results are displayed to the user.

Linking ontologies to expand supported language

A method, system, and computer program product provide a conversation agent to process natural language queries expressed by a user and perform commands according to the derived intention of the user. A natural language processing (NLP) engine derives intent using conditional random fields to identify a domain and at least one task embodied in the query. The NLP may further identify one or more subdomains, and one or more entities related to the identified command. A template system creates a data structure for information relevant to the derived intent and passes a template to a services manager for interfacing with one or more services capable of accomplishing the task. A dialog manager may elicit more entities from the user if required by the services manager and otherwise engage in conversation with the user. In one embodiment, the conversational agent allows a user to engage in multiple conversations simultaneously.

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Nepean, Canada

Tareq Ismail