-
1
-
-
0002759539
-
Unsupervised learning of multiple motifs in biopolymers using expectation maximization
-
T. L. Bailey and C. Elkan. Unsupervised learning of multiple motifs in biopolymers using expectation maximization. Machine learning, 1995.
-
(1995)
Machine Learning
-
-
Bailey, T.L.1
Elkan, C.2
-
2
-
-
80053165082
-
Alternating projections for learning with expectation constraints
-
K. Bellare, G. Druck, and A. McCallum. Alternating projections for learning with expectation constraints. In Proc. of UAI, 2009.
-
(2009)
Proc. of UAI
-
-
Bellare, K.1
Druck, G.2
McCallum, A.3
-
4
-
-
84937824187
-
Discriminative word alignment with conditional random fields
-
P. Blunsom and T. Cohn. Discriminative word alignment with conditional random fields. In Proc. of Proceedings of ACL, 2006.
-
(2006)
Proc. of Proceedings of ACL
-
-
Blunsom, P.1
Cohn, T.2
-
5
-
-
0000855484
-
Class-based n-gram models of natural language
-
P. F. Brown, P. V. de Souza, R. L. Mercer, V. J. D. Pietra, and J. C. Lai. Class-based n-gram models of natural language. Computational Linguistics, 1992.
-
(1992)
Computational Linguistics
-
-
Brown, P.F.1
De Souza, P.V.2
Mercer, R.L.3
Pietra, V.J.D.4
Lai, J.C.5
-
7
-
-
85086490822
-
CoNLL-X shared task on multilingual dependency parsing
-
S. Buchholz and E. Marsi. CoNLL-X shared task on multilingual dependency parsing. In CoNLL-X, 2006.
-
(2006)
CoNLL-X
-
-
Buchholz, S.1
Marsi, E.2
-
8
-
-
56449095373
-
A unified architecture for natural language processing: Deep neural networks with multitask learning
-
R. Collobert and J. Weston. A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proc. of ICML, 2008.
-
(2008)
Proc. of ICML
-
-
Collobert, R.1
Weston, J.2
-
10
-
-
0002629270
-
Maximum likelihood from incomplete data via the em algorithm
-
A. P. Dempster, N. M. Laird, D. B. Rubin, et al. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal statistical Society, 39(1): 1-38, 1977.
-
(1977)
Journal of the Royal Statistical Society
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
11
-
-
77956547444
-
High-performance semi-supervised learning using discriminatively constrained generative models
-
G. Druck and A. McCallum. High-performance semi-supervised learning using discriminatively constrained generative models. In Proc. of ICML, 2010.
-
(2010)
Proc. of ICML
-
-
Druck, G.1
McCallum, A.2
-
12
-
-
80052250414
-
Adaptive subgradient methods for online learning and stochastic optimization
-
J. Duchi, E. Hazan, and Y. Singer. Adaptive subgradient methods for online learning and stochastic optimization. JMLR, 2011.
-
(2011)
JMLR
-
-
Duchi, J.1
Hazan, E.2
Singer, Y.3
-
13
-
-
84859990607
-
Cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models
-
C. Dyer, A. Lopez, J. Ganitkevitch, J. Weese, F. Ture, P. Blunsom, H. Setiawan, V. Eidelman, and P. Resnik. cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models. In Proc. of ACL, 2010.
-
(2010)
Proc. of ACL
-
-
Dyer, C.1
Lopez, A.2
Ganitkevitch, J.3
Weese, J.4
Ture, F.5
Blunsom, P.6
Setiawan, H.7
Eidelman, V.8
Resnik, P.9
-
15
-
-
84914812809
-
A simple, fast, and effective reparameterization of IBM model 2
-
C. Dyer, V. Chahuneau, and N. A. Smith. A simple, fast, and effective reparameterization of IBM Model 2. In Proc. of NAACL, 2013.
-
(2013)
Proc. of NAACL
-
-
Dyer, C.1
Chahuneau, V.2
Smith, N.A.3
-
16
-
-
77956929686
-
Posterior regularization for structured latent variable models
-
K. Ganchev, J. Graça, J. Gillenwater, and B. Taskar. Posterior regularization for structured latent variable models. Journal of Machine Learning Research, 11: 2001-2049, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 2001-2049
-
-
Ganchev, K.1
Graça, J.2
Gillenwater, J.3
Taskar, B.4
-
17
-
-
84937856753
-
Parallel implementations of word alignment tool
-
Q. Gao and S. Vogel. Parallel implementations of word alignment tool. In Proc. of the ACL workshop, 2008.
-
(2008)
Proc. of the ACL Workshop
-
-
Gao, Q.1
Vogel, S.2
-
18
-
-
70049102734
-
Prototype-driven learning for sequence models
-
A. Haghighi and D. Klein. Prototype-driven learning for sequence models. In Proc. of NAACLHLT, 2006.
-
(2006)
Proc. of NAACLHLT
-
-
Haghighi, A.1
Klein, D.2
-
20
-
-
80053381171
-
Why doesn't EM find good HMM POS-taggers?
-
M. Johnson. Why doesn't EM find good HMM POS-taggers? In Proc. of EMNLP, 2007.
-
(2007)
Proc. of EMNLP
-
-
Johnson, M.1
-
21
-
-
29344466697
-
Corpus-based induction of syntactic structure: Models of dependency and constituency
-
D. Klein and C. D. Manning. Corpus-based induction of syntactic structure: Models of dependency and constituency. In Proc. of ACL, 2004.
-
(2004)
Proc. of ACL
-
-
Klein, D.1
Manning, C.D.2
-
24
-
-
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 Proc. of ICML, 2001.
-
(2001)
Proc. of ICML
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
27
-
-
0032519353
-
Genemark hmm: New solutions for gene finding
-
A. V. Lukashin and M. Borodovsky. Genemark. hmm: new solutions for gene finding. Nucleic acids research, 26(4): 1107-1115, 1998.
-
(1998)
Nucleic Acids Research
, vol.26
, Issue.4
, pp. 1107-1115
-
-
Lukashin, A.V.1
Borodovsky, M.2
-
28
-
-
84867119745
-
Tagging english text with a probabilistic model
-
B. Merialdo. Tagging english text with a probabilistic model. In Comp. Ling., 1994.
-
(1994)
Comp. Ling.
-
-
Merialdo, B.1
-
30
-
-
84867118996
-
A fast and simple algorithm for training neural probabilistic language models
-
A. Mnih and Y. W. Teh. A fast and simple algorithm for training neural probabilistic language models. In Proc. of ICML, 2012.
-
(2012)
Proc. of ICML
-
-
Mnih, A.1
Teh, Y.W.2
-
31
-
-
80053361322
-
The CoNLL 2007 shared task on dependency parsing
-
J. Nivre, J. Hall, S. Kubler, R. McDonald, J. Nilsson, S. Riedel, and D. Yuret. The CoNLL 2007 shared task on dependency parsing. In Proc. of CoNLL, 2007.
-
(2007)
Proc. of CoNLL
-
-
Nivre, J.1
Hall, J.2
Kubler, S.3
McDonald, R.4
Nilsson, J.5
Riedel, S.6
Yuret, D.7
-
32
-
-
0042879653
-
A systematic comparison of various statistical alignment models
-
F. Och and H. Ney. A systematic comparison of various statistical alignment models. Computational Linguistics, 2003.
-
(2003)
Computational Linguistics
-
-
Och, F.1
Ney, H.2
-
35
-
-
80053355330
-
Joint unsupervised coreference resolution with Markov logic
-
H. Poon and P. Domingos. Joint unsupervised coreference resolution with Markov logic. In Proc. of EMNLP, 2008.
-
(2008)
Proc. of EMNLP
-
-
Poon, H.1
Domingos, P.2
-
37
-
-
80053369934
-
V-measure: A conditional entropy-based external cluster evaluation measure
-
A. Rosenberg and J. Hirschberg. V-measure: A conditional entropy-based external cluster evaluation measure. In EMNLP-CoNLL, 2007.
-
(2007)
EMNLP-CoNLL
-
-
Rosenberg, A.1
Hirschberg, J.2
-
38
-
-
84859905260
-
Contrastive estimation: Training log-linear models on unlabeled data
-
N. A. Smith and J. Eisner. Contrastive estimation: Training log-linear models on unlabeled data. In Proc. of ACL, 2005.
-
(2005)
Proc. of ACL
-
-
Smith, N.A.1
Eisner, J.2
-
39
-
-
80053234189
-
Learning continuous phrase representations and syntactic parsing with recursive neural networks
-
R. Socher, C. D. Manning, and A. Y. Ng. Learning continuous phrase representations and syntactic parsing with recursive neural networks. In NIPS workshop, 2010.
-
(2010)
NIPS Workshop
-
-
Socher, R.1
Manning, C.D.2
Ng, A.Y.3
-
40
-
-
84883148756
-
Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure
-
V. Stoyanov, A. Ropson, and J. Eisner. Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure. In Proc. of AISTATS, 2011.
-
(2011)
Proc. of AISTATS
-
-
Stoyanov, V.1
Ropson, A.2
Eisner, J.3
-
41
-
-
84859884966
-
Semi-supervised sequential labeling and segmentation using giga-word scale unlabeled data
-
J. Suzuki and H. Isozaki. Semi-supervised sequential labeling and segmentation using giga-word scale unlabeled data. In Proc. of ACL, 2008.
-
(2008)
Proc. of ACL
-
-
Suzuki, J.1
Isozaki, H.2
-
45
-
-
0004339720
-
Hmm-based word alignment in statistical translation
-
S. Vogel, H. Ney, and C. Tillmann. Hmm-based word alignment in statistical translation. In Proc. of COLING, 1996.
-
(1996)
Proc. of COLING
-
-
Vogel, S.1
Ney, H.2
Tillmann, C.3
-
47
-
-
85060905667
-
Recognizing human action in time-sequential images using hidden Markov model
-
IEEE
-
J. Yamato, J. Ohya, and K. Ishii. Recognizing human action in time-sequential images using hidden Markov model. In Proc. of CVPR, pages 379-385. IEEE, 1992.
-
(1992)
Proc. of CVPR
, pp. 379-385
-
-
Yamato, J.1
Ohya, J.2
Ishii, K.3
|