BRPI0515169A - aprendizado por máquina - Google Patents

aprendizado por máquina

Info

Publication number
BRPI0515169A
BRPI0515169A BRPI0515169-4A BRPI0515169A BRPI0515169A BR PI0515169 A BRPI0515169 A BR PI0515169A BR PI0515169 A BRPI0515169 A BR PI0515169A BR PI0515169 A BRPI0515169 A BR PI0515169A
Authority
BR
Brazil
Prior art keywords
communications
learning
conversation
party
classifiers
Prior art date
Application number
BRPI0515169-4A
Other languages
English (en)
Inventor
David R Williams
Jeffrey Hill
Original Assignee
Microsoft Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Microsoft Corp filed Critical Microsoft Corp
Publication of BRPI0515169A publication Critical patent/BRPI0515169A/pt

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M7/00—Arrangements for interconnection between switching centres
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/42—Systems providing special services or facilities to subscribers
    • H04M3/487—Arrangements for providing information services, e.g. recorded voice services or time announcements
    • H04M3/493—Interactive information services, e.g. directory enquiries ; Arrangements therefor, e.g. interactive voice response [IVR] systems or voice portals
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3344—Query execution using natural language analysis
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L13/00—Speech synthesis; Text to speech systems
    • G10L13/02—Methods for producing synthetic speech; Speech synthesisers
    • G10L13/027—Concept to speech synthesisers; Generation of natural phrases from machine-based concepts
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/18—Speech classification or search using natural language modelling
    • G10L15/1822—Parsing for meaning understanding
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M3/00—Automatic or semi-automatic exchanges
    • H04M3/42—Systems providing special services or facilities to subscribers
    • H04M3/50—Centralised arrangements for answering calls; Centralised arrangements for recording messages for absent or busy subscribers ; Centralised arrangements for recording messages
    • H04M3/51—Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing
    • H04M3/5166—Centralised call answering arrangements requiring operator intervention, e.g. call or contact centers for telemarketing in combination with interactive voice response systems or voice portals, e.g. as front-ends
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue

Landscapes

  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Theoretical Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Telephonic Communication Services (AREA)
  • Machine Translation (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Information Transfer Between Computers (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Computer And Data Communications (AREA)

Abstract

APRENDIZADO POR MáQUINA Um sistema de respostas automatizado (por exemplo, um sistema de respostas de voz automatizado) pode empregar estratégias de aprendizado para desenvolver ou aumentar as capacidades de resposta automatizadas. As estratégias de aprendizado podem incluir o uso de comunicações (por exemplo, falas, mensagens de texto, etc.) de uma parte em urna conversação (por exemplo, um agente de serviço ao cliente) a fim de identificar e categorizar comunicações de uma outra parte na conversação (por exemplo, um chamador). Os classificadores podem ser construídos a partir das comunicações categorizadas. Os classificadores podem ser usados no sentido de identificar padrões comuns de comunicação de uma parte em uma conversação (por exemplo, um agente). As estratégias de aprendizado podem incluir ainda a seleção de comunicações como oportunidades de aprendizado a fim de aumentar as capacidades de respostas automatizadas com base em critérios de seleção (por exemplo, os critérios de seleção escolhidos para garantir que o sistema não aprenda a partir de exemplos não confiáveis ou insignificantes).
BRPI0515169-4A 2004-09-10 2005-09-07 aprendizado por máquina BRPI0515169A (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US10/939,288 US7606714B2 (en) 2003-02-11 2004-09-10 Natural language classification within an automated response system
PCT/US2005/032039 WO2006031609A2 (en) 2004-09-10 2005-09-07 Machine learning

Publications (1)

Publication Number Publication Date
BRPI0515169A true BRPI0515169A (pt) 2008-07-08

Family

ID=36060554

Family Applications (1)

Application Number Title Priority Date Filing Date
BRPI0515169-4A BRPI0515169A (pt) 2004-09-10 2005-09-07 aprendizado por máquina

Country Status (11)

Country Link
US (2) US7606714B2 (pt)
EP (1) EP1787458A4 (pt)
JP (1) JP4901738B2 (pt)
KR (1) KR101169113B1 (pt)
CN (1) CN101010934B (pt)
AU (1) AU2005285108B2 (pt)
BR (1) BRPI0515169A (pt)
CA (2) CA2826116C (pt)
MX (1) MX2007002880A (pt)
RU (1) RU2391791C2 (pt)
WO (1) WO2006031609A2 (pt)

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