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Volumn , Issue , 2012, Pages 1434-1444

Improved parsing and POS tagging using inter-sentence consistency constraints

Author keywords

[No Author keywords available]

Indexed keywords

CONSISTENCY CONSTRAINTS; DECODING ALGORITHM; DOMAIN ADAPTATION; DUAL DECOMPOSITION; ERROR REDUCTION; GLOBAL OBJECTIVE; PART-OF-SPEECH TAGGER; STATISTICAL PARSER;

EID: 84875194264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (45)

References (45)
  • 1
    • 33749256006 scopus 로고    scopus 로고
    • Maximum margin semi-supervised learning for structured variables
    • Y. Altun and D. Mcallester. 2005. Maximum margin semi-supervised learning for structured variables. In NIPS.
    • (2005) NIPS
    • Altun, Y.1    Mcallester, D.2
  • 3
    • 84874228863 scopus 로고    scopus 로고
    • Icml 2010 tutorial on domain adaptation
    • John Blitzer and Hal Daume. 2010. Icml 2010 tutorial on domain adaptation. In ICML.
    • (2010) ICML
    • Blitzer, J.1    Daume, H.2
  • 4
    • 33749237544 scopus 로고    scopus 로고
    • Semi-supervised learning for structured output variables
    • U. Brefeld and T. Scheffer. 2006. Semi-supervised learning for structured output variables. In ICML.
    • (2006) ICML
    • Brefeld, U.1    Scheffer, T.2
  • 5
    • 85086490822 scopus 로고    scopus 로고
    • CoNLL-X shared task on multilingual dependency parsing
    • S. Buchholz and E. Marsi. 2006. CoNLL-X shared task on multilingual dependency parsing. In CoNLL.
    • (2006) CoNLL
    • Buchholz, S.1    Marsi, E.2
  • 6
    • 83055165536 scopus 로고    scopus 로고
    • Collective information extraction with relational Markov networks
    • R.C. Bunescu and R.J. Mooney. 2004. Collective information extraction with relational markov networks. In ACL.
    • (2004) ACL
    • Bunescu, R.C.1    Mooney, R.J.2
  • 7
    • 80053268713 scopus 로고    scopus 로고
    • Utilizing extra-sentential context for parsing
    • J.C.K Cheung and G. Penn. 2010. Utilizing extra-sentential context for parsing. In EMNLP.
    • (2010) EMNLP
    • Cheung, J.C.K.1    Penn, G.2
  • 8
    • 85123806242 scopus 로고    scopus 로고
    • Bootstrapping pos taggers using unlabelled data
    • Stephen Clark, James Curran, and Miles Osborne. 2003. Bootstrapping pos taggers using unlabelled data. In CoNLL.
    • (2003) CoNLL
    • Clark, S.1    Curran, J.2    Osborne, M.3
  • 9
    • 84859959215 scopus 로고    scopus 로고
    • A probabilistic corpus-based model of parallelism
    • A. Dubey, F. Keller, and P. Sturt. 2009. A probabilistic corpus-based model of parallelism. Cognition, 109(2):193-210.
    • (2009) Cognition , vol.109 , Issue.2 , pp. 193-210
    • Dubey, A.1    Keller, F.2    Sturt, P.3
  • 10
    • 79959818548 scopus 로고    scopus 로고
    • Hierarchical Bayesian domain adaptation
    • Jenny Rose Finkel and Christopher Manning. 2009. Hierarchical bayesian domain adaptation. In NAACL.
    • (2009) NAACL
    • Finkel, J.R.1    Manning, C.2
  • 11
    • 84859918687 scopus 로고    scopus 로고
    • Incorporating non-local information into information extraction systems by gibbs sampling
    • J.R. Finkel, T. Grenager, and C. Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In ACL.
    • (2005) ACL
    • Finkel, J.R.1    Grenager, T.2    Manning, C.3
  • 14
    • 84875745284 scopus 로고    scopus 로고
    • Fixing max-product: Convergent message passing algorithms for map lp-relaxations
    • A. Globerson and T. Jaakkola. 2007. Fixing max-product: Convergent message passing algorithms for map lp-relaxations. In NIPS.
    • (2007) NIPS
    • Globerson, A.1    Jaakkola, T.2
  • 15
    • 77958050355 scopus 로고
    • North American news text corpus
    • LDC95T21
    • D. Graff. 1995. North american news text corpus. Linguistic Data Consortium, LDC95T21.
    • (1995) Linguistic Data Consortium
    • Graff, D.1
  • 16
    • 79551492523 scopus 로고    scopus 로고
    • Collective inference for extraction mrfs coupled with symmetric clique potentials
    • Rahul Gupta, Sunita Sarawagi, and Ajit A. Diwan. 2010. Collective inference for extraction mrfs coupled with symmetric clique potentials. JMLR.
    • (2010) JMLR
    • Gupta, R.1    Sarawagi, S.2    Diwan, A.A.3
  • 17
    • 25844460429 scopus 로고    scopus 로고
    • Sample selection for statistical parsing
    • R. Hwa. 2004. Sample selection for statistical parsing. Computational Linguistics, 30(3):253-276.
    • (2004) Computational Linguistics , vol.30 , Issue.3 , pp. 253-276
    • Hwa, R.1
  • 18
    • 84860542597 scopus 로고    scopus 로고
    • Questionbank: Creating a corpus of parse-annotated questions
    • John Judge, Aoife Cahill, and Josef van Genabith. 2006. Questionbank: Creating a corpus of parse-annotated questions. In ACL-COLING.
    • (2006) ACL-COLING
    • Judge, J.1    Cahill, A.2    Genabith, J.V.3
  • 20
    • 50649087920 scopus 로고    scopus 로고
    • MRF optimization via dual decomposition: Message-passing revisited
    • N. Komodakis, N. Paragios, and G. Tziritas. 2007. MRF optimization via dual decomposition: Message-passing revisited. In ICCV.
    • (2007) ICCV
    • Komodakis, N.1    Paragios, N.2    Tziritas, G.3
  • 21
    • 80053229665 scopus 로고    scopus 로고
    • Dual decomposition for parsing with non-projective head automata
    • T. Koo, A.M. Rush, M. Collins, T. Jaakkola, and D. Sontag. 2010. Dual decomposition for parsing with non-projective head automata. In EMNLP.
    • (2010) EMNLP
    • Koo, T.1    Rush, A.M.2    Collins, M.3    Jaakkola, T.4    Sontag, D.5
  • 22
    • 33947358517 scopus 로고    scopus 로고
    • Parsing biomedical literature
    • Matthew Lease and Eugene Charniak. 2005. Parsing biomedical literature. In IJCNLP.
    • (2005) IJCNLP
    • Lease, M.1    Charniak, E.2
  • 23
    • 71149098112 scopus 로고    scopus 로고
    • Learning from measurements in exponential families
    • P. Liang, M. I. Jordan, and D. Klein. 2009. Learning from measurements in exponential families. In ICML.
    • (2009) ICML
    • Liang, P.1    Jordan, M.I.2    Klein, D.3
  • 24
    • 77949506891 scopus 로고    scopus 로고
    • Generalized expectation criteria for semi-supervised learning with weakly labeled data
    • G.S. Mann and A. McCallum. Generalized expectation criteria for semi-supervised learning with weakly labeled data. Journal of Machine Learning Research, 11:955-984.
    • Journal of Machine Learning Research , vol.11 , pp. 955-984
    • Mann, G.S.1    McCallum, A.2
  • 25
    • 56449123826 scopus 로고    scopus 로고
    • Simple, robust, scalable semi-supervised learning via expectation reg-ularization
    • G.S. Mann and A. McCallum. 2007. Simple, robust, scalable semi-supervised learning via expectation reg-ularization. In ICML.
    • (2007) ICML
    • Mann, G.S.1    McCallum, A.2
  • 26
    • 34249852033 scopus 로고
    • Building a large annotated corpus of english: The penn treebank
    • M.P. Marcus, M.A. Marcinkiewicz, and B. Santorini. 1993. Building a large annotated corpus of english: The penn treebank. Computational linguistics, 19(2):313-330.
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.P.1    Marcinkiewicz, M.A.2    Santorini, B.3
  • 27
    • 84859905757 scopus 로고    scopus 로고
    • Self-training for biomedical parsing
    • sort papers
    • David McClosky and Eugene Charniak. 2008. Self-training for biomedical parsing. In ACL, sort papers.
    • (2008) ACL
    • McClosky, D.1    Charniak, E.2
  • 28
    • 80053260732 scopus 로고    scopus 로고
    • Reranking and self-training for parser adaptation
    • David McClosky, Eugene Charniak, and Mark Johnson. 2006. Reranking and self-training for parser adaptation. In ACL.
    • (2006) ACL
    • McClosky, D.1    Charniak, E.2    Johnson, M.3
  • 29
    • 84863395582 scopus 로고    scopus 로고
    • Automatic domain adapatation for parsing
    • David McClosky, Eugene Charniak, and Mark Johnson. 2010. Automatic domain adapatation for parsing. In NAACL.
    • (2010) NAACL
    • McClosky, D.1    Charniak, E.2    Johnson, M.3
  • 30
    • 80053274459 scopus 로고    scopus 로고
    • Non-projective dependency parsing using spanning tree algorithms
    • R.T. McDonald, F. Pereira, K. Ribarov, and J. Hajic. 2005. Non-projective dependency parsing using spanning tree algorithms. In HLT/EMNLP.
    • (2005) HLT/EMNLP
    • McDonald, R.T.1    Pereira, F.2    Ribarov, K.3    Hajic, J.4
  • 32
    • 84860518415 scopus 로고    scopus 로고
    • Self-training for enhancement and domain adaptation of statistical parsers trained on small datasets
    • R. Reichart and A. Rappoport. 2007. Self-training for enhancement and domain adaptation of statistical parsers trained on small datasets. In ACL.
    • (2007) ACL
    • Reichart, R.1    Rappoport, A.2
  • 33
    • 80053378166 scopus 로고    scopus 로고
    • Adapting a lexicalized-grammar parser to contrasting domains
    • Laura Rimell and Stephen Clark. 2008. Adapting a lexicalized-grammar parser to contrasting domains. In EMNLP.
    • (2008) EMNLP
    • Rimell, L.1    Clark, S.2
  • 34
    • 31844450331 scopus 로고    scopus 로고
    • Integer linear programming inference for conditional random fields
    • D. Roth and W. Yih. 2005. Integer linear programming inference for conditional random fields. In ICML.
    • (2005) ICML
    • Roth, D.1    Yih, W.2
  • 35
    • 80053227279 scopus 로고    scopus 로고
    • On dual decomposition and linear programming relaxations for natural language processing
    • A.M. Rush, D. Sontag, M. Collins, and T. Jaakkola. 2010. On dual decomposition and linear programming relaxations for natural language processing. In EMNLP.
    • (2010) EMNLP
    • Rush, A.M.1    Sontag, D.2    Collins, M.3    Jaakkola, T.4
  • 36
    • 80053380720 scopus 로고    scopus 로고
    • Dependency parsing and domain adaptation with lr models and parser ensembles
    • Kenji Sagae and Junichi Tsujii. 2007. Dependency parsing and domain adaptation with lr models and parser ensembles. In EMNLP-CoNLL.
    • (2007) EMNLP-CoNLL
    • Sagae, K.1    Tsujii, J.2
  • 37
    • 80053375671 scopus 로고    scopus 로고
    • Dependency parsing by belief propagation
    • D.A. Smith and J. Eisner. 2008. Dependency parsing by belief propagation. In EMNLP.
    • (2008) EMNLP
    • Smith, D.A.1    Eisner, J.2
  • 39
    • 79952257762 scopus 로고    scopus 로고
    • Efficient graph-based semi-supervised learning of structured tagging models
    • Amarnag Subramanya, Slav Petrov, and Fernando Pereira. 2010. Efficient graph-based semi-supervised learning of structured tagging models. In EMNLP.
    • (2010) EMNLP
    • Subramanya, A.1    Petrov, S.2    Pereira, F.3
  • 41
    • 1942418618 scopus 로고    scopus 로고
    • Discriminative probabilistic models for relational data
    • B. Taskar, P. Abbeel, and d. Koller. 2002. Discriminative probabilistic models for relational data. In UAI.
    • (2002) UAI
    • Taskar, B.1    Abbeel, P.2    Koller, D.3
  • 42
    • 84983470508 scopus 로고    scopus 로고
    • Feature-rich part-of-speech tagging with a cyclic dependency network
    • K. Toutanova, D. Klein, C.D. Manning, and Y. Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In HLT-NAACL.
    • (2003) HLT-NAACL
    • Toutanova, K.1    Klein, D.2    Manning, C.D.3    Singer, Y.4
  • 43
    • 27744456278 scopus 로고    scopus 로고
    • MAP estimation via agreement on trees: Message-passing and linear programming
    • M. Wainwright, T. Jaakkola, and A. Willsky. 2005. MAP estimation via agreement on trees: message-passing and linear programming. In IEEE Transactions on Information Theory, Volume 51, pages 3697-3717.
    • (2005) IEEE Transactions on Information Theory , vol.51 , pp. 3697-3717
    • Wainwright, M.1    Jaakkola, T.2    Willsky, A.3
  • 44
    • 84863351869 scopus 로고    scopus 로고
    • A rate distortion approach for semi-supervised conditional random fields
    • Y. Wang, G. Haffari, S. Wang, and G. Mori. 2009. A rate distortion approach for semi-supervised conditional random fields. In NIPS.
    • (2009) NIPS
    • Wang, Y.1    Haffari, G.2    Wang, S.3    Mori, G.4
  • 45
    • 80052647964 scopus 로고    scopus 로고
    • Structured prediction cascades
    • D. Weiss and B. Taskar. 2010. Structured prediction cascades. In Proc. of AISTATS, Volume 1284.
    • (2010) Proc. of AISTATS , vol.1284
    • Weiss, D.1    Taskar, B.2


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