-
2
-
-
0002652285
-
A maximum entropy approach to natural language processing
-
Berger, A. L., Pietra, S. A. D., & Pietra, V. J. D. (1996). A maximum entropy approach to natural language processing. Computational Linguistics, 22, 39-71.
-
(1996)
Computational Linguistics
, vol.22
, pp. 39-71
-
-
Berger, A.L.1
Pietra, S.A.D.2
Pietra, V.J.D.3
-
4
-
-
57749120009
-
Guiding semi-supervision with constraint-driven learning
-
Chang, M., Ratinov, L., & Roth, D. (2007). Guiding semi-supervision with constraint-driven learning. Proceedings of ACL (pp. 280-287).
-
(2007)
Proceedings of ACL
, pp. 280-287
-
-
Chang, M.1
Ratinov, L.2
Roth, D.3
-
5
-
-
57349122015
-
Learning from labeled features using generalized expectation criteria
-
Druck, G., Mann, G., & McCallum, A. (2008). Learning from labeled features using generalized expectation criteria. SIGIR.
-
(2008)
SIGIR
-
-
Druck, G.1
Mann, G.2
McCallum, A.3
-
7
-
-
84859900250
-
Dependency grammar induction via bitext projection constraints
-
Ganchev, K., Gillenwater, J., & Taskar, B. (2009). Dependency grammar induction via bitext projection constraints. ACL.
-
(2009)
ACL
-
-
Ganchev, K.1
Gillenwater, J.2
Taskar, B.3
-
8
-
-
72449138529
-
Multi-view learning over structured and non-identical outputs
-
AUAI Press
-
Ganchev, K., Graca, J., Blitzer, J., & Taskar, B. (2008). Multi-view learning over structured and non-identical outputs. Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI). AUAI Press.
-
(2008)
Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI)
-
-
Ganchev, K.1
Graca, J.2
Blitzer, J.3
Taskar, B.4
-
9
-
-
85162012703
-
Expectation maximization and posterior constraints
-
Cambridge, MA: MIT Press
-
Graca, J., Ganchev, K., & Taskar, B. (2008). Expectation maximization and posterior constraints. Advances in Neural Information Processing Systems 20. Cambridge, MA: MIT Press.
-
(2008)
Advances in Neural Information Processing Systems
, vol.20
-
-
Graca, J.1
Ganchev, K.2
Taskar, B.3
-
11
-
-
84860537772
-
Semi-supervised conditional random fields for improved sequence segmentation and labeling
-
Jiao, F., Wang, S., amd R. Greiner, C. L., & Schuurmans, D. (2006). Semi-supervised conditional random fields for improved sequence segmentation and labeling. Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (COLING/ACL-06).
-
(2006)
Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (COLING/ACL-06)
-
-
Jiao, F.1
Wang, S.2
Amd, R.3
Greiner, C.L.4
Schuurmans, D.5
-
12
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
Lafferty, J., McCallum, A., & Pereira, F. (2001). Conditional random fields: Probabilistic models for segmenting and labeling sequence data. ICML.
-
(2001)
ICML
-
-
Lafferty, J.1
McCallum, A.2
Pereira, F.3
-
13
-
-
71149098112
-
Learning from measurements in exponential families
-
Liang, P., Jordan, M. I., & Klein, D. (2009). Learning from measurements in exponential families. ICML.
-
(2009)
ICML
-
-
Liang, P.1
Jordan, M.I.2
Klein, D.3
-
14
-
-
84859912771
-
Generalized expectation criteria for semi-supervised learning of conditional random fields
-
Columbus, Ohio: Association for Computational Linguistics
-
Mann, G. S., & McCallum, A. (2008). Generalized expectation criteria for semi-supervised learning of conditional random fields. Proceedings of ACL-08: HLT (pp. 870-878). Columbus, Ohio: Association for Computational Linguistics.
-
(2008)
Proceedings of ACL-08: HLT
, pp. 870-878
-
-
Mann, G.S.1
McCallum, A.2
-
15
-
-
78751517535
-
Accurate information extraction from research papers using conditional random fields
-
Peng, F., & McCallum, A. (2004). Accurate information extraction from research papers using conditional random fields. HLT-NAACL (pp. 329-336).
-
(2004)
HLT-NAACL
, pp. 329-336
-
-
Peng, F.1
McCallum, A.2
|