Microsoft Technology Licensing, LLC

Other

Microsoft Corporation

Yuri Zieman

Jeffrey Hill

David W Williams

An embodiment of a method is disclosed wherein a natural language communication is received from a user. A concept recognition process is applied to automatically derive a representation of concepts embodied in the natural language communication. A collection of information likely to be useful in responding to the natural language communication is selected based on correspondence to the representation of concepts. The collection of information is provided to a human agent through an interface. Through the interface, an identification of a particular item of information from the collection is received. The particular item is illustratively a sub-set of the collection of information, the sub-set being a particular proposed response to the natural language communication. The particular proposed response is delivered to the user.

Management of conversations

In one aspect, an arbitrary natural language communication is received from a user. A concept recognition process is applied to automatically derive a representation of concepts embodied in the communication. The concept representation is used to provide to a human agent information useful in responding to the natural language communication.

Method and apparatus for managing user conversations

A combinatorial system for extracting major meaning components of a phrase or sentence text in natural language and vice versa. This system allows more intelligent processing and retrieval of textual information in computers. More specifically, the system is divided into three parts. The first is based on a specially defined set of universal primary or atomic abstract concepts, Semantic Factors and rules and methods for assembling and modifying the Semantic Factors. The second is based on a specially defined set of morpheme-type linguistic elements of a specific language, referred to herein as S-Morphs, that are formed into a dictionary. The third part relies upon algorithms and rules for using the two parts described above to translate text into its conceptual description or meanings and/or point from a meaning to relevant objects.

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Waltham, MA, United States of America

Yuri Zieman