-
2
-
-
0003326699
-
FASTUS: A finite-state processor for information extraction from real-world text
-
D. E. Appelt, J. R. Hobbs, J. Bear, D. Israel, and M. Tyson. FASTUS: A finite-state processor for information extraction from real-world text. In Proc. of IJCAI, 1993.
-
(1993)
Proc. of IJCAI
-
-
Appelt, D. E.1
Hobbs, J. R.2
Bear, J.3
Israel, D.4
Tyson, M.5
-
3
-
-
0342733649
-
Regular closure of deterministic languages
-
E. Bertsch and M.-J. Nederhof. Regular closure of deterministic languages. SIAM J. on Computing, 29(1):81-102, 1999.
-
(1999)
SIAM J. on Computing
, vol.29
, Issue.1
, pp. 81-102
-
-
Bertsch, E.1
Nederhof, M.-J.2
-
4
-
-
85117236284
-
A distributional analysis of a lexicalized statistical parsing model
-
D. Bikel. A distributional analysis of a lexicalized statistical parsing model. In Proc. of EMNLP, 2004.
-
(2004)
Proc. of EMNLP
-
-
Bikel, D.1
-
5
-
-
0346346026
-
Cascaded Markov models
-
T. Brants. Cascaded Markov models. In Proc. of EACL, 1999.
-
(1999)
Proc. of EACL
-
-
Brants, T.1
-
6
-
-
0010039182
-
New figures of merit for best-first probabilistic chart parsing
-
S. A. Caraballo and E. Charniak. New figures of merit for best-first probabilistic chart parsing. Computational Linguistics, 24(2):275-98, 1998.
-
(1998)
Computational Linguistics
, vol.24
, Issue.2
, pp. 275-298
-
-
Caraballo, S. A.1
Charniak, E.2
-
7
-
-
85135274622
-
Bayesian grammar induction for language modeling
-
S. Chen. Bayesian grammar induction for language modeling. In Proc. of ACL, 1995.
-
(1995)
Proc. of ACL
-
-
Chen, S.1
-
9
-
-
85118152899
-
Three generative, lexicalised models for statistical parsing
-
M. Collins. Three generative, lexicalised models for statistical parsing. In Proc. of ACL, 1997.
-
(1997)
Proc. of ACL
-
-
Collins, M.1
-
11
-
-
80053265598
-
Compiling Comp Ling: Practical weighted dynamic programming and the Dyna language
-
J. Eisner, E. Goldlust, and N. A. Smith. Compiling Comp Ling: Practical weighted dynamic programming and the Dyna language. In Proc. of HLT-EMNLP, 2005.
-
(2005)
Proc. of HLT-EMNLP
-
-
Eisner, J.1
Goldlust, E.2
Smith, N. A.3
-
12
-
-
0039452675
-
Efficient parsing for bilexical cfgs and head automaton grammars
-
J. Eisner and G. Satta. Efficient parsing for bilexical cfgs and head automaton grammars. In Proc. of ACL, 1999.
-
(1999)
Proc. of ACL
-
-
Eisner, J.1
Satta, G.2
-
14
-
-
0032135489
-
Linguistic complexity: Locality of syntactic dependencies
-
E. Gibson. Linguistic complexity: Locality of syntactic dependencies. Cognition, 68:1-76, 1998.
-
(1998)
Cognition
, vol.68
, pp. 1-76
-
-
Gibson, E.1
-
16
-
-
85040151721
-
Noun classification from predicate-argument structure
-
D. Hindle. Noun classification from predicate-argument structure. In Proc. of ACL, 1990.
-
(1990)
Proc. of ACL
-
-
Hindle, D.1
-
19
-
-
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
-
21
-
-
9444233081
-
Maximum entropy estimation for feature forests
-
Y. Miyao and J. Tsujii. Maximum entropy estimation for feature forests. In Proc. of HLT, 2002.
-
(2002)
Proc. of HLT
-
-
Miyao, Y.1
Tsujii, J.2
-
22
-
-
0012259830
-
Practical experiments with regular approximation of context-free languages
-
M.-J. Nederhof. Practical experiments with regular approximation of context-free languages. CL, 26(1):17-44, 2000.
-
(2000)
CL
, vol.26
, Issue.1
, pp. 17-44
-
-
Nederhof, M.-J.1
-
23
-
-
0042879603
-
Weighted deductive parsing and Knuth's algorithm
-
M.-J. Nederhof. Weighted deductive parsing and Knuth's algorithm. Computational Linguistics, 29(1):135-143, 2003.
-
(2003)
Computational Linguistics
, vol.29
, Issue.1
, pp. 135-143
-
-
Nederhof, M.-J.1
-
25
-
-
85117165447
-
Max-margin parsing
-
B. Taskar, D. Klein, M. Collins, D. Koller, and C. Manning. Max-margin parsing. In Proc. of EMNLP, 2004.
-
(2004)
Proc. of EMNLP
-
-
Taskar, B.1
Klein, D.2
Collins, M.3
Koller, D.4
Manning, C.5
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