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Method and system for providing statistical dialog manager training

A dialogue manager, purpose technology, applied in instrumentation, computing, electrical and digital data processing, etc., can solve problems such as limited and lack of user experience

Active Publication Date: 2017-11-21
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But for real-world SDMs, this kind of bootstrap statistical model is not desirable because the initial user experience is poor and limited

Method used

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  • Method and system for providing statistical dialog manager training
  • Method and system for providing statistical dialog manager training
  • Method and system for providing statistical dialog manager training

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Embodiment Construction

[0010] The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or like elements. While embodiments of the invention may have been described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions, or modifications may be made to elements illustrated in the figures, and the methods described herein may be modified by substituting, reordering, or adding steps to the disclosed methods. Accordingly, the following detailed description does not limit the invention.

[0011] Embodiments of the present invention may provide a system and / or method for training a Statistical Dialogue Manager (SDM) in a Spoken Dialogue System (SDS) using web data. A large number of logged user interactions residing in centrally hosted web search engines and browsers can be exploited to provide training data for the d...

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Abstract

Domain detection training in a spoken language understanding system may be provided. Log data associated with a search engine, each associated with a search query, may be received. A domain label for each search query may be identified and the domain label and link data may be provided to a training set for a spoken language understanding model.

Description

Background technique [0001] Web data can be mined to provide training for Spoken Language Understanding (SLU) applications. A significant barrier limiting the large-scale deployment of Statistical Dialogue Managers (SDMs) is the number of annotated dialogues required to train SDM models. The need for a large training corpus arises from the large number of combinations of state variables along with the belief space over all possible outputs of the spoken language understanding system. In conventional systems, scaling the SDM approach to thousands of simulated conversations is a keyword re-search problem, especially in the known partially observable Markov decision process (POMDP) ​​approach. For example, conventional approaches to this problem rely on monotonic initialization; with this system, training data is obtained from real users and annotated to train a better model. But for real-world SDMs, such bootstrap statistical models are not desirable because the initial user e...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/20G10L15/08G06F40/00
CPCG06F16/951G06F40/40
Inventor L.P.赫克D.哈卡尼-图尔R.叶尔G.图尔
Owner MICROSOFT TECH LICENSING LLC