Microsoft Technology Licensing, LLC

Tellme Networks, Inc.

Karen M Cross

Anne K Sullivan

Lisa Joy Stifelman

Angus Macdonald Davis

Rao Subrahmanyeswara Surapaneni

Sarah A Caplener

Rajeev Khurana

Justin B Ward

Robert L Chambers

Michael Bodell

Edward Mark Tecot

Nick Gedge

Jeremy C Waltmunson

Daniel Frederick Penn

John Bain

Kunal Patel

Michael H Kim

Brandon William Porter

Joseph Adam Ruff

Brian Murphy

Gary Clayton

Andrea Klein

Robert P Starling

Michael D Trinkala

Matthew M Klee

Michael Kim

Input context for a statistical dialog manager may be provided. Upon receiving a spoken query from a user, the query may be categorized according to at least one context clue. The spoken query may then be converted to text according to a statistical dialog manager associated with the category of the query and a response to the spoken query may be provided to the user.

Using multiple modality input to feedback context for natural language understanding

Information associated with messages and/or missed calls is provided to a subscriber. Calls received but not answered by the subscriber may be monitored. Each monitored call is classified as one of a missed call and a message. The monitored calls may be summarized based on a customizable rule set to create a summary. The summary is provided to the subscriber via, for example, a voice notification.

Providing missed call and message information

A system may receive a request for a business listing, and search a database to identify a set of business listings based on the request. The system may also identify at least one previously requested business or residential listing, and select and/or present one or more of the business listings based on a geographic location associated with the at least one previously requested business or residential listing.

Providing business listings based on locations of previously provided listings

Systems and methods for facilitating a decision-making process are disclosed. In one aspect of the present disclosure, in response to receiving a request to facilitate a decision making process, the decision-making agent participates in a communications thread where users are attempting to reach a decision regarding a business to frequent and/or an activity to partake. Since group activities are oftentimes scheduled via common communication threads, the decision-making agent can intervene in such communication threads, when requested, and assist the participating users in making a decision or making informed suggestions toward reaching an agreement.

Facilitating a decision-making process

Pronunciation generation may be provided. First, a pronunciation interface may be provided. The pronunciation interface may be configured to display a word and a plurality of alternatives corresponding to a one of a plurality of parts of the word. The plurality of parts may comprise phonemes or syllables of the word. Next, pronunciation data may be received through the pronunciation interface. The pronunciation data may indicate one of the plurality of alternatives. Then a pronunciation of the word may be generated based upon the received pronunciation data. The pronunciation may correspond to the indicated one of the plurality of alternatives. In addition, the pronunciation data may indicate which one of the plurality of parts of the word is stressed. This stress indication may be received in response to a user sliding a user selectable element to indicate which one of the plurality of parts of the word is stressed.

Human-assisted pronunciation generation

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Mountain View, CA, United States of America

Karen M Cross