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Volumn , Issue , 2013, Pages 429-438

NLify: Lightweight spoken natural language interfaces via exhaustive paraphrasing

Author keywords

Crowdsourcing; Paraphrasing; Spoken natural language interface; Third party mobile applications

Indexed keywords

CROWDSOURCING; DESIGN AND IMPLEMENTATIONS; LANGUAGE UNDERSTANDING; MOBILE APPLICATIONS; NATURAL LANGUAGE INTERFACES; PARAPHRASING; SPECIALIZED KNOWLEDGE; STATISTICAL RECOGNITION;

EID: 84885212561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2493432.2493458     Document Type: Conference Paper
Times cited : (9)

References (28)
  • 1
    • 77955011171 scopus 로고    scopus 로고
    • Augmenting mobile 3g using wifi
    • Balasubramanian, A., et al. Augmenting mobile 3g using wifi. In Mobisys (2010).
    • (2010) Mobisys
    • Balasubramanian, A.1
  • 2
    • 0042858565 scopus 로고    scopus 로고
    • Extracting paraphrases from a parallel corpus
    • Barzilay, R., and McKeown, K. Extracting paraphrases from a parallel corpus. In ACL (2001).
    • (2001) ACL
    • Barzilay, R.1    McKeown, K.2
  • 4
    • 80755144058 scopus 로고    scopus 로고
    • Crowds in two seconds: Enabling realtime crowd-powered interfaces
    • Bernstein, M. S., et al. Crowds in two seconds: enabling realtime crowd-powered interfaces. In UIST (2011), 33-42.
    • (2011) UIST , pp. 33-42
    • Bernstein, M.S.1
  • 5
    • 84885199345 scopus 로고    scopus 로고
    • Speech-enabling a windows phone 8 app with voice commands
    • November
    • Bishop, F. A. Speech-enabling a windows phone 8 app with voice commands. MSDN Magazine 27, 11 (November 2012).
    • (2012) MSDN Magazine , vol.27 , Issue.11
    • Bishop, F.A.1
  • 7
    • 84886587131 scopus 로고    scopus 로고
    • Large scale language modeling in automatic speech recognition
    • Chelba, C., et al. Large scale language modeling in automatic speech recognition. Tech. rep., Google, 2012.
    • (2012) Tech. Rep., Google
    • Chelba, C.1
  • 8
    • 84859089502 scopus 로고    scopus 로고
    • Collecting highly parallel data for paraphrase evaluation
    • Chen, D. L., and Dolan, W. B. Collecting highly parallel data for paraphrase evaluation. In ACL (2011), 190-200.
    • (2011) ACL , pp. 190-200
    • Chen, D.L.1    Dolan, W.B.2
  • 9
  • 10
    • 33846980853 scopus 로고    scopus 로고
    • What do we perceive in a glance of a real-world scene?
    • 1
    • Fei-Fei, L., et al. What do we perceive in a glance of a real-world scene? J. Vision 7, 1 (1 2007), 1-29.
    • (2007) J. Vision , vol.7 , Issue.1 , pp. 1-29
    • Fei-Fei, L.1
  • 11
    • 79957695367 scopus 로고    scopus 로고
    • Comparing stochastic approaches to spoken language understanding in multiple languages
    • Hahn, S., et al. Comparing stochastic approaches to spoken language understanding in multiple languages. IEEE Trans. Audio, Speech & Language Processing 19, 6 (2011), 1569-1583.
    • (2011) IEEE Trans. Audio, Speech & Language Processing , vol.19 , Issue.6 , pp. 1569-1583
    • Hahn, S.1
  • 12
    • 84886596600 scopus 로고    scopus 로고
    • Nlify: Mobile spoken natural language interfaces for everyone
    • Han, S., et al. Nlify: Mobile spoken natural language interfaces for everyone. In HotMobile (demo) (2013).
    • (2013) HotMobile (Demo)
    • Han, S.1
  • 13
    • 30344482008 scopus 로고    scopus 로고
    • The personal audio loop: Designing a ubiquitous audio-based memory aid
    • Hayes, G. R., et al. The personal audio loop: Designing a ubiquitous audio-based memory aid. In Mobile HCI (2004).
    • (2004) Mobile HCI
    • Hayes, G.R.1
  • 16
    • 84867454858 scopus 로고    scopus 로고
    • Stresssense: Detecting stress in unconstrained acoustic environments using smartphones
    • Lu, H., et al. Stresssense: detecting stress in unconstrained acoustic environments using smartphones. In UbiComp (2012).
    • (2012) UbiComp
    • Lu, H.1
  • 17
    • 84866606194 scopus 로고    scopus 로고
    • Empowering developers to estimate app energy consumption
    • Mittal, R., Kansal, A., and Chandra, R. Empowering developers to estimate app energy consumption. In MOBICOM (2012), 317-328.
    • (2012) MOBICOM , pp. 317-328
    • Mittal, R.1    Kansal, A.2    Chandra, R.3
  • 19
    • 67649810891 scopus 로고    scopus 로고
    • Communication failures in the speech-based control of smart home systems
    • Oulasvirta, A., et al. Communication failures in the speech-based control of smart home systems. In Intelligent Environments (2007), 135-143.
    • (2007) Intelligent Environments , pp. 135-143
    • Oulasvirta, A.1
  • 20
    • 80054085830 scopus 로고    scopus 로고
    • Sifi: Exploiting voip silence for wifi energy savings insmart phones
    • Pyles, A. J., et al. Sifi: exploiting voip silence for wifi energy savings insmart phones. In UbiComp (2011).
    • (2011) UbiComp
    • Pyles, A.J.1
  • 21
    • 56149099128 scopus 로고    scopus 로고
    • Generative and discriminative algorithms for spoken language understanding
    • Raymond, C., and Riccardi, G. Generative and discriminative algorithms for spoken language understanding. In INTERSPEECH (2007).
    • (2007) INTERSPEECH
    • Raymond, C.1    Riccardi, G.2
  • 22
    • 0000241978 scopus 로고    scopus 로고
    • Two decades of statistical language modeling: Where do we go from here?
    • Rosenfeld, R. Two decades of statistical language modeling: Where do we go from here? In Proc. of the IEEE (2000).
    • (2000) Proc. of the IEEE
    • Rosenfeld, R.1
  • 23
    • 0016572913 scopus 로고
    • A vector space model for automatic indexing
    • Nov.
    • Salton, G., et al. A vector space model for automatic indexing. Commun. ACM 18, 11 (Nov. 1975), 613-620.
    • (1975) Commun. ACM , vol.18 , Issue.11 , pp. 613-620
    • Salton, G.1
  • 24
    • 84874230762 scopus 로고    scopus 로고
    • Crowdsourcing the acquisition of natural language corpora: Methods and observations
    • Wang, W., et al. Crowdsourcing the acquisition of natural language corpora: Methods and observations. In SLT (2012).
    • (2012) SLT
    • Wang, W.1
  • 25
    • 85032751458 scopus 로고    scopus 로고
    • Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups
    • IEEE, (nov.)
    • Wang, Y.-Y., et al. Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups. Signal Processing Magazine, IEEE 29, 6 (nov. 2012), 82 -97.
    • (2012) Signal Processing Magazine , vol.29 , Issue.6 , pp. 82-97
    • Wang, Y.-Y.1
  • 26
    • 78650005402 scopus 로고    scopus 로고
    • Voiceyourview: Collecting real-time feedback on the design of public spaces
    • Whittle, J., et al. Voiceyourview: collecting real-time feedback on the design of public spaces. In Ubicomp (2010).
    • (2010) Ubicomp
    • Whittle, J.1
  • 27
    • 59249085980 scopus 로고    scopus 로고
    • Towards the automated social analysis of situated speech data
    • Wyatt, D., et al. Towards the automated social analysis of situated speech data. In UbiComp (2008).
    • (2008) UbiComp
    • Wyatt, D.1
  • 28
    • 84867466925 scopus 로고    scopus 로고
    • Bodyscope: A wearable acoustic sensor for activity recognition
    • Yatani, K., and Truong, K. N. Bodyscope: A wearable acoustic sensor for activity recognition. In UbiComp (2012).
    • (2012) UbiComp
    • Yatani, K.1    Truong, K.N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.