-
1
-
-
34548477786
-
Mitigating the paucity of data problem
-
M. Banko and E. Brill. 2001. Mitigating the paucity of data problem. In HLT.
-
(2001)
HLT
-
-
Banko, M.1
Brill, E.2
-
3
-
-
0033329799
-
An empirical study of smoothing techniques for language modeling
-
October
-
Stanley F. Chen and Joshua Goodman. 1999. An empirical study of smoothing techniques for language modeling. Computer Speech and Language, 13:359–394, October.
-
(1999)
Computer Speech and Language
, vol.13
, pp. 359-394
-
-
Chen, Stanley F.1
Goodman, Joshua2
-
7
-
-
0031120321
-
Inducing features of random fields
-
April
-
Stephen Della Pietra, Vincent Della Pietra, and John Lafferty. 1997. Inducing features of random fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(4):380–393, April.
-
(1997)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.19
, Issue.4
, pp. 380-393
-
-
Pietra, Stephen Della1
Pietra, Vincent Della2
Lafferty, John3
-
9
-
-
0000803388
-
The population frequencies of species and the estimation of population parameters
-
4)
-
I.J. Good. 1953. The population frequencies of species and the estimation of population parameters. Biometrika, 40(3 and 4):237–264.
-
(1953)
Biometrika
, vol.40
, Issue.3
, pp. 237-264
-
-
Good, I.J.1
-
10
-
-
0034856455
-
Classes for fast maximum entropy training
-
Joshua Goodman. 2001. Classes for fast maximum entropy training. In ICASSP 2001.
-
(2001)
ICASSP 2001
-
-
Goodman, Joshua1
-
11
-
-
33745800994
-
Sequential conditional generalized iterative scaling
-
Joshua Goodman. 2002. Sequential conditional generalized iterative scaling. In ACL’02.
-
(2002)
ACL’02
-
-
Goodman, Joshua1
-
12
-
-
24944487417
-
CFW: A collaborative filtering system using posteriors over weights of evidence
-
Carl M. Kadie, Christopher Meek, and David Heckerman. 2002. CFW: A collaborative filtering system using posteriors over weights of evidence. In Proceedings of UAI, pages 242–250.
-
(2002)
Proceedings of UAI
, pp. 242-250
-
-
Kadie, Carl M.1
Meek, Christopher2
Heckerman, David3
-
13
-
-
18744381531
-
A method of maximum entropy estimation with relaxed constraints
-
1995 Johns Hopkins University Language Modeling Workshop
-
S. Khudanpur. 1995. A method of maximum entropy estimation with relaxed constraints. In 1995 Johns Hopkins University Language Modeling Workshop.
-
(1995)
-
-
Khudanpur, S.1
-
14
-
-
0028996876
-
Improved backing-off for m-gram language modeling
-
Reinhard Kneser and Hermann Ney. 1995. Improved backing-off for m-gram language modeling. In ICASSP, volume 1, pages 181–184.
-
(1995)
ICASSP
, vol.1
, pp. 181-184
-
-
Kneser, Reinhard1
Ney, Hermann2
-
16
-
-
0017442629
-
Extension to the maximum entropy method
-
January
-
W. Newman. 1997. Extension to the maximum entropy method. IEEE Trans. on Information Theory, IT-23(1):89–93, January.
-
(1997)
IEEE Trans. on Information Theory
, vol.IT-23
, Issue.1
, pp. 89-93
-
-
Newman, W.1
-
17
-
-
0027929445
-
On structuring probabilistic dependences in stochastic language modeling
-
Hermann Ney, Ute Essen, and Reinhard Kneser. 1994. On structuring probabilistic dependences in stochastic language modeling. Computer, Speech, and Language, 8:1–38.
-
(1994)
Computer, Speech, and Language
, vol.8
, pp. 1-38
-
-
Ney, Hermann1
Essen, Ute2
Kneser, Reinhard3
-
20
-
-
84881219500
-
A maximum entropy approach to identifying sentence boundaries
-
J. Reynar and A. Ratnaparkhi. 1997. A maximum entropy approach to identifying sentence boundaries. In ANLP.
-
(1997)
ANLP
-
-
Reynar, J.1
Ratnaparkhi, A.2
-
23
-
-
0000673452
-
Bayesian regularization and pruning using a Laplace prior
-
Peter M. Williams. 1995. Bayesian regularization and pruning using a Laplace prior. Neural Computation, 7:117–143.
-
(1995)
Neural Computation
, vol.7
, pp. 117-143
-
-
Williams, Peter M.1
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