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面向任務(wù)口語對話系統(tǒng)中期待模型的實(shí)現(xiàn)算法

劉蓓 杜利民 于水源

劉蓓, 杜利民, 于水源. 面向任務(wù)口語對話系統(tǒng)中期待模型的實(shí)現(xiàn)算法[J]. 電子與信息學(xué)報(bào), 2004, 26(11): 1721-1727.
引用本文: 劉蓓, 杜利民, 于水源. 面向任務(wù)口語對話系統(tǒng)中期待模型的實(shí)現(xiàn)算法[J]. 電子與信息學(xué)報(bào), 2004, 26(11): 1721-1727.
Liu Bei, Du Li-min, Yu Shui-yuan . The Construction of Expectation Model in Task-Oriented Spoken Dialogue Systems and Its Realization Algorithms[J]. Journal of Electronics & Information Technology, 2004, 26(11): 1721-1727.
Citation: Liu Bei, Du Li-min, Yu Shui-yuan . The Construction of Expectation Model in Task-Oriented Spoken Dialogue Systems and Its Realization Algorithms[J]. Journal of Electronics & Information Technology, 2004, 26(11): 1721-1727.

面向任務(wù)口語對話系統(tǒng)中期待模型的實(shí)現(xiàn)算法

The Construction of Expectation Model in Task-Oriented Spoken Dialogue Systems and Its Realization Algorithms

  • 摘要: 該文研究如何從口語對話系統(tǒng)特定場景的期待內(nèi)容中,抽象出期待所需要的一般的數(shù)據(jù)結(jié)構(gòu)和處理方法,提出了基于任務(wù)模型的期待模型的構(gòu)建算法.將該期待模型與對話上歷史相結(jié)合,可以為系統(tǒng)構(gòu)造出隨對話過程動態(tài)改變的語境,使系統(tǒng)具備初步地利用語境推導(dǎo)用戶意向的推理功能,從而大大提高語義分析的魯棒性及對話成功率.最后給出了該期待模型在實(shí)驗(yàn)系統(tǒng)中應(yīng)用的有效性結(jié)果.
  • Smith B W. Spoken Natural Language Dialogue System: A Practical Approach. London: Oxford University Press, 1994: 144-150.[2]何兆熊.新編語用學(xué)概要.上海:上海外語教育出版社,2000,第1章.[3]Grosz B J, Sidner C L. Attention, intentions, and the structure of discourse. Computational Linguistics, 1986, 12(3): 175-204.[4]Mast M, Kummert F, et al.. A speech understanding and dialog system with a homogeneous linguistic knowledge base. IEEE Trans. on Pattern and Machine Intellegence, 1994, PAMI-16(2):179-194.[5]Norbert Reithinger. Experiments in speech act prediction. In Proc. of the AAAI-95 Spring Symposium on Empirical Methods in Discourse, Menlo Park, CA, 1995: 126-131.[6]Popovici C.[J].Baggia P. Specialized language models using dialogue predictions. in Proc. on ICASSP97, Munich, Germany.1997,:-[7]Zhang G L.[J].Yan P J, et al.. An automatic speech recognition strategy directed by the semantic knowledge in dialog system. ISCSLP02, Taipei, China.2002,:-[8]Souvignier B, Kellner A, et al.. The thoughtful elephant: strategies for spoken dialog systems[J].IEEE Trans. on Speech Audio Processing.2000, 8(1):51-62[9]Fink P E, Biermann A W. The correction of ill-formed input using history-based expectation with applications to speech understanding. Computational Linguistics, 1986, 12(1): 13-36.[10]Cleo Jullien, Jean-Charles Marty. Plan revision in person-machine dialogue. 4th EACL Conference, UK, 1989: 153-160.[11]Young S. Talking to machines (statistically speaking). in Proc. ICSLP02, Denver, USA, 2002:9-16.[12]Wang X F.[J].Du L M. The strategy of speech management in a mixed initiative Chinese spoken dialogue system engine. in Proc. ISCSLP00, Beijing, China.2000,:-[13]Komatani K.[J].et al.. Domain-independent spoken dialogue platform using key-phrase spotting based on combined language model. Eurospeech01, Scandinavia.2001,:-
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出版歷程
  • 收稿日期:  2003-05-23
  • 修回日期:  2003-12-26
  • 刊出日期:  2004-11-19

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