BR112016028797A2 - modelagem de contexto de sessão para sistemas de entendimento de conversação - Google Patents

modelagem de contexto de sessão para sistemas de entendimento de conversação

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Publication number
BR112016028797A2
BR112016028797A2 BR112016028797A BR112016028797A BR112016028797A2 BR 112016028797 A2 BR112016028797 A2 BR 112016028797A2 BR 112016028797 A BR112016028797 A BR 112016028797A BR 112016028797 A BR112016028797 A BR 112016028797A BR 112016028797 A2 BR112016028797 A2 BR 112016028797A2
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BR
Brazil
Prior art keywords
shifts
session context
models
knowledge
session
Prior art date
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BR112016028797A
Other languages
English (en)
Inventor
Z Hakkani-Tur Dilek
Tur Gokhan
P Heck Larry
Akbacak Murat
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Microsoft Technology Licensing Llc
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Application filed by Microsoft Technology Licensing Llc filed Critical Microsoft Technology Licensing Llc
Publication of BR112016028797A2 publication Critical patent/BR112016028797A2/pt

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/40Processing or translation of natural language
    • G06F40/42Data-driven translation
    • G06F40/47Machine-assisted translation, e.g. using translation memory
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/63Querying
    • G06F16/635Filtering based on additional data, e.g. user or group profiles
    • G06F16/637Administration of user profiles, e.g. generation, initialization, adaptation or distribution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/40Processing or translation of natural language
    • G06F40/42Data-driven translation
    • G06F40/44Statistical methods, e.g. probability models
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/226Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics
    • G10L2015/227Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics of the speaker; Human-factor methodology

Abstract

sistemas e métodos são fornecidos para melhorar modelos de linguagem para reconhecimento por voz adaptando as fontes de conhecimento utilizadas pelos modelos de linguagem em contextos de sessão. uma fonte de conhecimento, como um gráfico de conhecimento, é utilizada para capturar e modelar o contexto de sessão dinâmico com base na informação da interação do usuário do histórico de utilização, como registros de sessão, que é mapeado para a fonte de conhecimento. das sequências de interações de usuário, sequências de finalidade de nível mais alto podem ser determinadas e utilizadas para formar modelos que antecipam as finalidades similares com diferentes argumentos incluindo argumentos que não aparecem necessariamente no histórico de utilização. dessa forma, os modelos de contexto de sessão podem ser usados para determinar as próximas interações prováveis ou "turnos" de um usuário, dado um turno prévio ou turnos. os modelos de linguagem correspondentes aos próximos turnos pro-váveis são então interpolados e fornecidos para melhorar a precisão do reconhecimento do próximo turno recebido do usuário.
BR112016028797A 2014-06-18 2015-06-17 modelagem de contexto de sessão para sistemas de entendimento de conversação BR112016028797A2 (pt)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/308,174 US20150370787A1 (en) 2014-06-18 2014-06-18 Session Context Modeling For Conversational Understanding Systems
PCT/US2015/036116 WO2015195729A1 (en) 2014-06-18 2015-06-17 Session context modeling for conversational understanding systems

Publications (1)

Publication Number Publication Date
BR112016028797A2 true BR112016028797A2 (pt) 2017-08-22

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BR112016028797A BR112016028797A2 (pt) 2014-06-18 2015-06-17 modelagem de contexto de sessão para sistemas de entendimento de conversação

Country Status (7)

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US (1) US20150370787A1 (pt)
EP (1) EP3158559B1 (pt)
JP (1) JP6657124B2 (pt)
CN (1) CN106575503B (pt)
BR (1) BR112016028797A2 (pt)
RU (1) RU2693184C2 (pt)
WO (1) WO2015195729A1 (pt)

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