-
1
-
-
79959829092
-
Recurrent neural network based language model
-
T. Mikolov, M. Karafiat, J. Cernocky, and S. Khudanpur, "Recurrent neural network based language model, " in INTERSPEECH, 2010, pp. 1045-1048.
-
(2010)
Interspeech
, pp. 1045-1048
-
-
Mikolov, T.1
Karafiat, M.2
Cernocky, J.3
Khudanpur, S.4
-
2
-
-
80051643236
-
Extensions of recurrent neural network based language model
-
T. Mikolov, S. Kombrink, L. Burget, J. Cernocky, and S. Khudanpur, "Extensions of recurrent neural network based language model, " in ICASSP, 2011, pp. 5528-5531.
-
(2011)
ICASSP
, pp. 5528-5531
-
-
Mikolov, T.1
Kombrink, S.2
Burget, L.3
Cernocky, J.4
Khudanpur, S.5
-
3
-
-
84865803833
-
Empirical evaluation and combination of advanced language modeling techniques
-
T. Mikolov, A. Deoras, S. Kombrink, L. Burget, and J. Cernocky, "Empirical evaluation and combination of advanced language modeling techniques, " in INTERSPEECH, 2011, pp. 605- 608.
-
(2011)
Interspeech
, pp. 605-608
-
-
Mikolov, T.1
Deoras, A.2
Kombrink, S.3
Burget, L.4
Cernocky, J.5
-
4
-
-
84858966958
-
Strategies for training large scale neural network language models
-
T. Mikolov, A. Deoras, D. Povey, L. Burget, and J. Cernocky, "Strategies for training large scale neural network language models, " in ASRU, 2011.
-
(2011)
ASRU
-
-
Mikolov, T.1
Deoras, A.2
Povey, D.3
Burget, L.4
Cernocky, J.5
-
5
-
-
84874235486
-
Context dependent recurrent neural network language model
-
T. Mikolov and G. Zweig, "Context dependent recurrent neural network language model, " in Proc. SLT, 2012, pp. 234-239.
-
(2012)
Proc. SLT
, pp. 234-239
-
-
Mikolov, T.1
Zweig, G.2
-
6
-
-
85075436378
-
Deep neural network language models
-
E. Arisoy, T. N. Sainath, B. Kingsbury, and B. Ramabhadran, "Deep neural network language models, " in Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the N-gram Model? On the Future of Language Modeling for HLT, 2012, pp. 20-28.
-
(2012)
Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the N-gram Model? on the Future of Language Modeling for HLT
, pp. 20-28
-
-
Arisoy, E.1
Sainath, T.N.2
Kingsbury, B.3
Ramabhadran, B.4
-
7
-
-
0036293862
-
Connectionist language modeling for large vocabulary continuous speech recognition
-
IEEE
-
H. Schwenk and J.L. Gauvain, "Connectionist language modeling for large vocabulary continuous speech recognition, " in ICASSP. IEEE, 2002, vol. 1, pp. I-765.
-
(2002)
ICASSP
, vol.1
-
-
Schwenk, H.1
Gauvain, J.L.2
-
8
-
-
0142166851
-
A neural probabilistic language model
-
Y. Bengio, R. Ducharme, Vincent, P., and C. Jauvin, "A neural probabilistic language model, " Journal of Machine Learning Reseach, vol. 3, no. 6, 2003.
-
(2003)
Journal of Machine Learning Reseach
, vol.3
, Issue.6
-
-
Bengio, Y.1
Ducharme, R.2
Vincent, P.3
Jauvin, C.4
-
9
-
-
33847610331
-
Continuous space language models
-
H. Schwenk, "Continuous space language models, " Computer Speech and Language, vol. 21, no. 3, pp. 492 - 518, 2007.
-
(2007)
Computer Speech and Language
, vol.21
, Issue.3
, pp. 492-518
-
-
Schwenk, H.1
-
10
-
-
80051619076
-
Structured output layer neural network language model
-
H.-S. Le, I. Oparin, A. Allauzen, J.-L. Gauvain, and F. Yvon, "Structured output layer neural network language model, " in ICASSP, 2011, pp. 5524-5527.
-
(2011)
ICASSP
, pp. 5524-5527
-
-
Le, H.-S.1
Oparin, I.2
Allauzen, A.3
Gauvain, J.-L.4
Yvon, F.5
-
13
-
-
84926179397
-
Linguistic regularities in continuous space word representations
-
to appear
-
Mikolov, W.T. Yih, and G. Zweig, "Linguistic regularities in continuous space word representations, " in NAACL-HLT, to appear, 2013.
-
(2013)
NAACL-HLT
-
-
Mikolov, T.1
Yih, W.T.2
Zweig, G.3
-
14
-
-
85075873581
-
Continuous space language models for statistical machine translation
-
H. Schwenk, D. Dchelotte, and J.-L. Gauvain, "Continuous space language models for statistical machine translation, " in COLING/ACL, 2006.
-
(2006)
COLING/ACL
-
-
Schwenk, H.1
Dchelotte, D.2
Gauvain, J.-L.3
-
15
-
-
84906217753
-
Measuring the influence of long range dependencies with neural network language models
-
L. H. Son, A. Allauzen, and F. Yvon, "Measuring the influence of long range dependencies with neural network language models, " in NAACL/HLT, 2012, pp. 1-10.
-
(2012)
NAACL/HLT
, pp. 1-10
-
-
Son, L.H.1
Allauzen, A.2
Yvon, F.3
-
16
-
-
85045980083
-
Large, pruned or continuous space language models on a GPU for statistical machine translation
-
H. Schwenk, A. Rousseau, and M. Attik, "Large, pruned or continuous space language models on a GPU for statistical machine translation, " in NAACL/HLT, 2012, pp. 723-730.
-
(2012)
NAACL/HLT
, pp. 723-730
-
-
Schwenk, H.1
Rousseau, A.2
Attik, M.3
-
17
-
-
0002384527
-
The ATIS spoken language systems pilot corpus
-
C. Hemphill, J. Godfrey, and G. Doddington, "The ATIS spoken language systems pilot corpus, " in Proceedings of the DARPA speech and natural language workshop, 1990, pp. 96-101.
-
(1990)
Proceedings of the DARPA Speech and Natural Language Workshop
, pp. 96-101
-
-
Hemphill, C.1
Godfrey, J.2
Doddington, G.3
-
19
-
-
0000681602
-
The CMU air travel information service: Understanding spontaneous speech
-
W. Ward et al., "The CMU air travel information service: Understanding spontaneous speech, " in Proceedings of the DARPA Speech and Natural Language Workshop, 1990, pp. 127-129.
-
(1990)
Proceedings of the DARPA Speech and Natural Language Workshop
, pp. 127-129
-
-
Ward, W.1
-
20
-
-
84905239235
-
A data-driven spoken language understanding system
-
Y. He and S. Young, "A data-driven spoken language understanding system, " in ASRU, 2003, pp. 583-588.
-
(2003)
ASRU
, pp. 583-588
-
-
He, Y.1
Young, S.2
-
21
-
-
43849110896
-
Generative and discriminative algorithms for spoken language understanding
-
C. Raymond and G. Riccardi, "Generative and discriminative algorithms for spoken language understanding, " INTERSPEECH, pp. 1605-1608, 2007.
-
(2007)
Interspeech
, pp. 1605-1608
-
-
Raymond, C.1
Riccardi, G.2
-
22
-
-
44849105561
-
Spoken language understanding: A survey
-
R. De Mori, "Spoken language understanding: A survey, " in ASRU, 2007, pp. 365-376.
-
(2007)
ASRU
, pp. 365-376
-
-
De Mori, R.1
-
23
-
-
77952047108
-
Processing spontaneous speech in deployed spoken language understanding systems: A survey
-
F. Béchet, "Processing spontaneous speech in deployed spoken language understanding systems: A survey, " SLT, vol. 1, 2008.
-
(2008)
SLT
, vol.1
-
-
Béchet, F.1
-
24
-
-
0038000234
-
Conversational interfaces: Advances and challenges
-
V. Zue and J. Glass, "Conversational interfaces: Advances and challenges, " Proceedings of the IEEE, vol. 88, no. 8, pp. 1166- 1180, 2000.
-
(2000)
Proceedings of the IEEE
, vol.88
, Issue.8
, pp. 1166-1180
-
-
Zue, V.1
Glass, J.2
-
25
-
-
84878536564
-
A conversational movie search system based on conditional random fields
-
J. Liu, S. Cyphers, P. Pasupat, I. McGraw, and J. Glass, "A conversational movie search system based on conditional random fields, " in INTERSPEECH, 2012.
-
(2012)
Interspeech
-
-
Liu, J.1
Cyphers, S.2
Pasupat, P.3
McGraw, I.4
Glass, J.5
-
26
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. McCallum, and F. Pereira, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data, " in ICML, 2001, pp. 282-289.
-
(2001)
ICML
, pp. 282-289
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
27
-
-
85119967391
-
Combining statistical and knowledge-based spoken language understanding in conditional models
-
Y.-Y. Wang, A. Acero, M. Mahajan, and J. Lee, "Combining statistical and knowledge-based spoken language understanding in conditional models, " in COLING/ACL, 2006, pp. 882-889.
-
(2006)
COLING/ACL
, pp. 882-889
-
-
Wang, Y.-Y.1
Acero, A.2
Mahajan, M.3
Lee, J.4
-
28
-
-
43849091935
-
Spoken language understanding with kernels for syntactic/semantic structures
-
A. Moschitti, G. Riccardi, and C. Raymond, "Spoken language understanding with kernels for syntactic/semantic structures, " in ASRU, 2007, pp. 183-188.
-
(2007)
ASRU
, pp. 183-188
-
-
Moschitti, A.1
Riccardi, G.2
Raymond, C.3
-
29
-
-
80053222535
-
Chunking with support vector machines
-
T. Kudo and Y. Matsumoto, "Chunking with support vector machines, " in ACL, 2001.
-
(2001)
ACL
-
-
Kudo, T.1
Matsumoto, Y.2
-
30
-
-
85009110588
-
Natural language understanding using statistical machine translation
-
Citeseer
-
K. Macherey, F. Och, H. Ney, et al., "Natural language understanding using statistical machine translation, " in European Conf. on Speech Communication and Technology. Citeseer, 2001, pp. 2205-2208.
-
(2001)
European Conf. on Speech Communication and Technology
, pp. 2205-2208
-
-
Macherey, K.1
Och, F.2
Ney, H.3
-
31
-
-
26444565569
-
Finding structure in time
-
J. Elman, "Finding structure in time, " Cognitive science, vol. 14, no. 2, pp. 179-211, 1990.
-
(1990)
Cognitive Science
, vol.14
, Issue.2
, pp. 179-211
-
-
Elman, J.1
-
32
-
-
85022919385
-
Class-based n-gram models of natural language
-
P.F. Brown, V.J. Della Pietra, P.V. deSouza, J. Lai, and R.L. Mercer, "Class-based n-gram models of natural language, " Computational Linguistics, vol. 18, no. 4, pp. 467-479, 1992.
-
(1992)
Computational Linguistics
, vol.18
, Issue.4
, pp. 467-479
-
-
Brown, P.F.1
Della Pietra, V.J.2
Desouza, P.V.3
Lai, J.4
Mercer, R.L.5
-
33
-
-
84906237242
-
Investigation of recurrent-neural-network architectures and learning methods for language understanding
-
submitted to
-
G. Mesnil, X. He, L. Deng, and Y. Bengio, "Investigation of recurrent-neural-network architectures and learning methods for language understanding, " in submitted to INTERSPEECH, 2013.
-
(2013)
Interspeech
-
-
Mesnil, G.1
He, X.2
Deng, L.3
Bengio, Y.4
-
34
-
-
84878413383
-
Towards recurrent neural networks language models with linguistic and contextual features
-
Y. Shi, P. Wiggers, and C. M. Jonker, "Towards recurrent neural networks language models with linguistic and contextual features, " in INTERSPEECH, 2012.
-
(2012)
Interspeech
-
-
Shi, Y.1
Wiggers, P.2
Jonker, C.M.3
-
35
-
-
80051639097
-
Sentence simplification for spoken language understanding
-
G. Tur, D. Hakkani-Tur, L. Heck, and S. Parthasarathy, "Sentence simplification for spoken language understanding, " in ICASSP, 2011, pp. 5628-5631.
-
(2011)
ICASSP
, pp. 5628-5631
-
-
Tur, G.1
Hakkani-Tur, D.2
Heck, L.3
Parthasarathy, S.4
-
36
-
-
0002766887
-
Expanding the scope of the atis task: The ATIS-3 corpus
-
Association for Computational Linguistics
-
D. Dahl, M. Bates, M. Brown, W. Fisher, K. Hunicke-Smith, D. Pallett, C. Pao, A. Rudnicky, and E. Shriberg, "Expanding the scope of the ATIS task: The ATIS-3 corpus, " in Proceedings of the workshop on Human Language Technology. Association for Computational Linguistics, 1994, pp. 43-48.
-
(1994)
Proceedings of the Workshop on Human Language Technology
, pp. 43-48
-
-
Dahl, D.1
Bates, M.2
Brown, M.3
Fisher, W.4
Hunicke-Smith, K.5
Pallett, D.6
Pao, C.7
Rudnicky, A.8
Shriberg, E.9
-
37
-
-
84874256530
-
Use of kernel deep convex networks and end-to-end learning for spoken language understanding
-
L. Deng, G. Tur, X. He, and D. Hakkani-Tur, "Use of kernel deep convex networks and end-to-end learning for spoken language understanding, " in SLT, 2013, pp. 210-215.
-
(2013)
SLT
, pp. 210-215
-
-
Deng, L.1
Tur, G.2
He, X.3
Hakkani-Tur, D.4
-
38
-
-
80053558787
-
Natural language processing (almost) from scratch
-
R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa, "Natural language processing (almost) from scratch, " Journal of Machine Learning Research, vol. 12, pp. 2493-2537, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2493-2537
-
-
Collobert, R.1
Weston, J.2
Bottou, L.3
Karlen, M.4
Kavukcuoglu, K.5
Kuksa, P.6
-
40
-
-
84858976070
-
Feature engineering in context-dependent deep neural networks for conversational speech transcription
-
F. Seide, G. Li, X. Chen, and D. Yu, "Feature engineering in context-dependent deep neural networks for conversational speech transcription, " in ASRU, 2011, pp. 24-29.
-
(2011)
ASRU
, pp. 24-29
-
-
Seide, F.1
Li, G.2
Chen, X.3
Yu, D.4
-
41
-
-
85083953021
-
-
D. Yu, M. L. Seltzer, J. Li, J.-T. Huang, and F. Seide, "Feature learning in deep neural networks - studies on speech recognition tasks, " 2013, http://arxiv.org/pdf/1301.3605.
-
(2013)
Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks
-
-
Yu, D.1
Seltzer, M.L.2
Li, J.3
Huang, J.-T.4
Seide, F.5
|