-
1
-
-
27744563098
-
MAP adaptation of stochastic grammars
-
Michiel Bacchiani, Michael Riley, Brian Roark, and Richard Sproat. 2006. MAP adaptation of stochastic grammars. Computer Speech and Language, 20(1):41-68.
-
(2006)
Computer Speech and Language
, vol.20
, Issue.1
, pp. 41-68
-
-
Bacchiani, M.1
Riley, M.2
Roark, B.3
Sproat, R.4
-
3
-
-
37249086043
-
Wide-coverage efficient statistical parsing with CCG and log-linear models
-
Stephen Clark and James R. Curran. 2007. Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models. Computational Linguistics, 33(4):493-552.
-
(2007)
Computational Linguistics
, vol.33
, Issue.4
, pp. 493-552
-
-
Clark, S.1
Curran, J.R.2
-
5
-
-
84859976571
-
Viterbi training for PCFGs: Hardness results and competitiveness of uniform initialization
-
Shay Cohen and Noah Smith. 2010. Viterbi Training for PCFGs: Hardness Results and Competitiveness of Uniform Initialization. In Proceedings of ACL 2010.
-
(2010)
Proceedings of ACL 2010
-
-
Cohen, S.1
Smith, N.2
-
6
-
-
85118152899
-
Three generative, lexicalised models for statistical parsing
-
Michael Collins. 1997. Three generative, lexicalised models for statistical parsing. In Proceedings of the 35th ACL.
-
(1997)
thACL
-
-
Collins, M.1
-
7
-
-
80053428142
-
Re-estimation of lexical parameters for tree bank PCFGs
-
Tejaswini Deoskar. 2008. Re-estimation of Lexical Parameters for Treebank PCFGs. In Proceedings of COLING 2008.
-
(2008)
Proceedings of COLING 2008
-
-
Deoskar, T.1
-
9
-
-
84859944900
-
Corpus variation and parser performance
-
Daniel Gildea. 2001. Corpus Variation and Parser Performance. In Proceedings of EMNLP 2001.
-
(2001)
Proceedings of EMNLP 2001
-
-
Gildea, D.1
-
12
-
-
85149144666
-
Generative models for statistical parsing with combinatory categorial grammar
-
Julia Hockenmaier and Mark Steedman. 2002. Generative Models for Statistical Parsing with Combinatory Categorial Grammar. In ACL 40.
-
(2002)
ACL
, vol.40
-
-
Hockenmaier, J.1
Steedman, M.2
-
13
-
-
34748819951
-
CCG bank: A corpus of CCG derivations and dependency structures extracted from the Penn treebank
-
Julia Hockenmaier and Mark Steedman. 2007. CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank. Computational Linguistics, 33:355-396.
-
(2007)
Computational Linguistics
, vol.33
, pp. 355-396
-
-
Hockenmaier, J.1
Steedman, M.2
-
15
-
-
80053551637
-
Simple semi-supervised dependency parsing
-
Association for Computational Linguistics, Columbus, Ohio
-
Terry Koo, Xavier Carreras, and Michael Collins. 2008. Simple Semi-supervised Dependency Parsing. In Proceedings of ACL-08: HLT, pages 595-603. Association for Computational Linguistics, Columbus, Ohio.
-
(2008)
Proceedings of ACL-08: HLT
, pp. 595-603
-
-
Koo, T.1
Carreras, X.2
Collins, M.3
-
16
-
-
84870978672
-
-
LDC93T1. LDC93T1., Philadelphia
-
LDC93T1. 1993. LDC93T1. Linguistic Data Consortium, Philadelphia.
-
(1993)
Linguistic Data Consortium
-
-
-
17
-
-
33646016255
-
Parsing biomedical literature
-
R. Dale, K.-F. Wong, J. Su, and O. Kwong, eds., vol. 3651 of Lecture Notes in Computer Science, Springer-Verlag, Jeju Island, Korea
-
Matthew Lease and Eugene Charniak. 2005. Parsing Biomedical Literature. In R. Dale, K.-F. Wong, J. Su, and O. Kwong, eds., Proceedings of the 2nd International Joint Conference on Natural Language Processing (IJCNLP' 05), vol. 3651 of Lecture Notes in Computer Science, pages 58 - 69. Springer-Verlag, Jeju Island, Korea.
-
(2005)
nd International Joint Conference on Natural Language Processing (IJCNLP' 05)
, pp. 58-69
-
-
Lease, M.1
Charniak, E.2
-
20
-
-
84867119745
-
Tagging English text with a probabilistic model
-
Bernard Merialdo. 1994. Tagging English Text with a Probabilistic Model. Computational Linguistics, 20(2):155- 171.
-
(1994)
Computational Linguistics
, vol.20
, Issue.2
, pp. 155-171
-
-
Merialdo, B.1
-
21
-
-
0002788893
-
A view of the EM algorithm that justifies incremental, sparse, and other variants
-
Kluwer Academic Publishers
-
Radford M. Neal and Geoffrey E. Hinton. 1998. A view of the EM algorithm that justifies incremental, sparse, and other variants. In Learning and Graphical Models, pages 355 - 368. Kluwer Academic Publishers.
-
(1998)
Learning and Graphical Models
, pp. 355-368
-
-
Neal, R.M.1
Hinton, G.E.2
-
27
-
-
84890494404
-
Semi-supervised training for statistical parsing
-
Mark Steedman, Steven Baker, Jeremiah Crim, Stephen Clark, Julia Hockenmaier, Rebecca Hwa, Miles Osbornn, Paul Ruhlen, and Anoop Sarkar. 2003. Semi-Supervised Training for Statistical Parsing. Tech. rep., CLSP WS-02.
-
(2003)
Tech. Rep., CLSP WS-02
-
-
Steedman, M.1
Baker, S.2
Crim, J.3
Clark, S.4
Hockenmaier, J.5
Hwa, R.6
Osbornn, M.7
Ruhlen, P.8
Sarkar, A.9
-
28
-
-
80053399428
-
An empirical study of semi-supervised structured conditional models for dependency parsing
-
Association for Computational Linguistics, Singapore
-
Jun Suzuki, Hideki Isozaki, Xavier Carreras, and Michael Collins. 2009. An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pages 551- 560. Association for Computational Linguistics, Singapore.
-
(2009)
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing
, pp. 551-560
-
-
Suzuki, J.1
Isozaki, H.2
Carreras, X.3
Collins, M.4
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