메뉴 건너뛰기




Volumn , Issue , 2015, Pages 960-970

Semantic role labeling with neural network factors

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTIC WEB; SEMANTICS; VECTOR SPACES;

EID: 84959925712     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d15-1112     Document Type: Conference Paper
Times cited : (153)

References (42)
  • 4
    • 33645985251 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2004 shared task: Semantic role labeling
    • Xavier Carreras and Lluis Marquez. 2004. Introduction to the CoNLL-2004 shared task: Semantic role labeling. In Proceedings of CoNLL.
    • (2004) Proceedings of CoNLL
    • Carreras, X.1    Marquez, L.2
  • 5
    • 84862288194 scopus 로고    scopus 로고
    • Introduction to the CoNLL-2005 shared task: Semantic role labeling
    • Xavier Carreras and Lluis Marquez. 2005. Introduction to the CoNLL-2005 shared task: Semantic role labeling. In Proceedings of CoNLL.
    • (2005) Proceedings of CoNLL
    • Carreras, X.1    Marquez, L.2
  • 6
    • 84951272941 scopus 로고    scopus 로고
    • A fast and accurate dependency parser using neural networks
    • Danqi Chen and Christopher D Manning. 2014. A fast and accurate dependency parser using neural networks. In Proceedings of EMNLP.
    • (2014) Proceedings of EMNLP
    • Chen, D.1    Manning, C.D.2
  • 7
    • 84860529731 scopus 로고    scopus 로고
    • Fast semantic extraction using a novel neural network architecture
    • Ronan Collobert and Jason Weston. 2007. Fast semantic extraction using a novel neural network architecture. In Proceedings of ACL.
    • (2007) Proceedings of ACL
    • Collobert, R.1    Weston, J.2
  • 11
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research, 12:2121-2159.
    • (2011) The Journal of Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 15
    • 84906921940 scopus 로고    scopus 로고
    • Semantic frame identification with distributed word representations
    • Karl Moritz Hermann, Dipanjan Das, Jason Weston, and Kuzman Ganchev. 2014. Semantic frame identification with distributed word representations. In Proceedings of ACL.
    • (2014) Proceedings of ACL
    • Hermann, K.M.1    Das, D.2    Weston, J.3    Ganchev, K.4
  • 16
    • 0013344078 scopus 로고    scopus 로고
    • Training products of experts by minimizing contrastive divergence
    • Geoffrey E. Hinton. 2002. Training products of experts by minimizing contrastive divergence. Neural Computation, 14(8):1771-1800.
    • (2002) Neural Computation , vol.14 , Issue.8 , pp. 1771-1800
    • Hinton, G.E.1
  • 18
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • John Lafferty, Andrew McCallum, and Fernando Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML.
    • (2001) Proceedings of ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 21
    • 34547970628 scopus 로고    scopus 로고
    • Three new graphical models for statistical language modelling
    • Andriy Mnih and Geoffrey Hinton. 2007. Three new graphical models for statistical language modelling. In Proceedings of ICML.
    • (2007) Proceedings of ICML
    • Mnih, A.1    Hinton, G.2
  • 22
    • 77956509090 scopus 로고    scopus 로고
    • Rectified linear units improve restricted Boltzmann machines
    • Vinod Nair and Geoffrey E Hinton. 2010. Rectified linear units improve restricted Boltzmann machines. In Proceedings of ICML.
    • (2010) Proceedings of ICML
    • Nair, V.1    Hinton, G.E.2
  • 23
    • 33645983416 scopus 로고    scopus 로고
    • The proposition bank: An annotated corpus of semantic roles
    • Martha Palmer, Daniel Gildea, and Paul Kingsbury. 2005. The Proposition Bank: An annotated corpus of semantic roles. Computational linguistics, 31(1):71-106.
    • (2005) Computational Linguistics , vol.31 , Issue.1 , pp. 71-106
    • Palmer, M.1    Gildea, D.2    Kingsbury, P.3
  • 27
    • 45749086553 scopus 로고    scopus 로고
    • The importance of syntactic parsing and inference in semantic role labeling
    • Vasin Punyakanok, Dan Roth, and Wen-Tau Yih. 2008. The importance of syntactic parsing and inference in semantic role labeling. Computational Linguistics, 34(2):257-287.
    • (2008) Computational Linguistics , vol.34 , Issue.2 , pp. 257-287
    • Punyakanok, V.1    Roth, D.2    Yih, W.-T.3
  • 29
    • 84961322744 scopus 로고    scopus 로고
    • Composition of word representations improves semantic role labelling
    • Michael Roth and Kristian Woodsend. 2014. Composition of word representations improves semantic role labelling. In Proceedings of EMNLP.
    • (2014) Proceedings of EMNLP
    • Roth, M.1    Woodsend, K.2
  • 30
    • 84937874740 scopus 로고    scopus 로고
    • Learning distributed representations for structured output prediction
    • Vivek Srikumar and Christopher D Manning. 2014. Learning distributed representations for structured output prediction. In Proceedings of NIPS.
    • (2014) Proceedings of NIPS
    • Srikumar, V.1    Manning, C.D.2
  • 32
    • 78751700422 scopus 로고    scopus 로고
    • The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
    • Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluis Marquez, and Joakim Nivre. 2008. The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies. In Proceedings of CoNLL.
    • (2008) Proceedings of CoNLL
    • Surdeanu, M.1    Johansson, R.2    Meyers, A.3    Marquez, L.4    Nivre, J.5
  • 34
    • 45749140897 scopus 로고    scopus 로고
    • A global joint model for semantic role labeling
    • Kristina Toutanova, Aria Haghighi, and Christopher D Manning. 2008. A global joint model for semantic role labeling. Computational Linguistics, 34(2):161-191.
    • (2008) Computational Linguistics , vol.34 , Issue.2 , pp. 161-191
    • Toutanova, K.1    Haghighi, A.2    Manning, C.D.3
  • 35
    • 80053495924 scopus 로고    scopus 로고
    • Word representations: A simple and general method for semi-supervised learning
    • Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010. Word representations: a simple and general method for semi-supervised learning. In Proceedings of ACL.
    • (2010) Proceedings of ACL
    • Turian, J.1    Ratinov, L.2    Bengio, Y.3
  • 38
    • 84867117593 scopus 로고    scopus 로고
    • WSABIE: Scaling up to large vocabulary image annotation
    • Jason Weston, Samy Bengio, and Nicolas Usunier. 2011. WSABIE: Scaling up to large vocabulary image annotation. In Proceedings of IJCAI.
    • (2011) Proceedings of IJCAI
    • Weston, J.1    Bengio, S.2    Usunier, N.3
  • 39
    • 84880741886 scopus 로고    scopus 로고
    • Calibrating features for semantic role labeling
    • Nianwen Xue and Martha Palmer. 2004. Calibrating features for semantic role labeling. In Proceedings of EMNLP.
    • (2004) Proceedings of EMNLP
    • Xue, N.1    Palmer, M.2
  • 40
    • 84906923945 scopus 로고    scopus 로고
    • Enforcing structural diversity in cube-pruned dependency parsing
    • Hao Zhang and Ryan McDonald. 2014. Enforcing structural diversity in cube-pruned dependency parsing. In Proceedings of ACL.
    • (2014) Proceedings of ACL
    • Zhang, H.1    McDonald, R.2
  • 41
    • 84859984064 scopus 로고    scopus 로고
    • Multilingual dependency learning: A huge feature engineering method to semantic dependency parsing
    • Hai Zhao, Wenliang Chen, Chunyu Kity, and Guodong Zhou. 2009. Multilingual dependency learning: A huge feature engineering method to semantic dependency parsing. In Proceedings of CoNLL.
    • (2009) Proceedings of CoNLL
    • Zhao, H.1    Chen, W.2    Kity, C.3    Zhou, G.4
  • 42
    • 84943737769 scopus 로고    scopus 로고
    • End-to-end learning of semantic role labeling using recurrent neural networks
    • Jie Zhou and Wei Xu. 2015. End-to-end learning of semantic role labeling using recurrent neural networks. In Proceedings of ACL.
    • (2015) Proceedings of ACL
    • Zhou, J.1    Xu, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.