메뉴 건너뛰기




Volumn 13, Issue 3, 2018, Pages 55-75

Recent trends in deep learning based natural language processing [Review Article]

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85051085274     PISSN: 1556603X     EISSN: 15566048     Source Type: Journal    
DOI: 10.1109/MCI.2018.2840738     Document Type: Review
Times cited : (2941)

References (164)
  • 1
    • 84899050913 scopus 로고    scopus 로고
    • Jumping NLP curves: A review of natural language processing research
    • May
    • E. Cambria and B. White, "Jumping NLP curves: A review of natural language processing research, " IEEE Comput. Intell. Mag., vol. 9, no. 2, pp. 48-57, May 2014.
    • (2014) IEEE Comput. Intell. Mag. , vol.9 , Issue.2 , pp. 48-57
    • Cambria, E.1    White, B.2
  • 6
    • 85001976188 scopus 로고    scopus 로고
    • A primer on neural network models for natural language processing
    • Nov.
    • Y. Goldberg, "A primer on neural network models for natural language processing, " J. Artif. Intell. Res., vol. 57, pp. 345-420, Nov. 2016.
    • (2016) J. Artif. Intell. Res. , vol.57 , pp. 345-420
    • Goldberg, Y.1
  • 11
    • 77952700189 scopus 로고    scopus 로고
    • From frequency to meaning: Vector space models of semantics
    • Nov.
    • P. D. Turney and P. Pantel, "From frequency to meaning: Vector space models of semantics, " J. Artif. Intell. Res., vol. 37, pp. 141-188, Nov. 2010.
    • (2010) J. Artif. Intell. Res. , vol.37 , pp. 141-188
    • Turney, P.D.1    Pantel, P.2
  • 13
    • 80053443013 scopus 로고    scopus 로고
    • Domain adaptation for large-scale sentiment classification: A deep learning approach
    • X. Glorot, A. Bordes, Y. Bengio, "Domain adaptation for large-scale sentiment classification: A deep learning approach, " in Proc. 28th Int. Conf. Machine Learning, 2011, pp. 513-520.
    • (2011) Proc. 28th Int. Conf. Machine Learning , pp. 513-520
    • Glorot, X.1    Bordes, A.2    Bengio, Y.3
  • 15
    • 0001419757 scopus 로고
    • Distributed representations, simple recurrent networks, grammatical structure
    • J. L. Elman, "Distributed representations, simple recurrent networks, grammatical structure, " Mach. Learn., vol. 7, no. 2-3, pp. 195-225, 1991.
    • (1991) Mach. Learn. , vol.7 , Issue.2-3 , pp. 195-225
    • Elman, J.L.1
  • 16
    • 0000296953 scopus 로고    scopus 로고
    • Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning
    • Oct.
    • A. M. Glenberg and D. A. Robertson, "Symbol grounding and meaning: A comparison of high-dimensional and embodied theories of meaning, " J. Memory Lang., vol. 43, no. 3, pp. 379-401, Oct. 2000.
    • (2000) J. Memory Lang. , vol.43 , Issue.3 , pp. 379-401
    • Glenberg, A.M.1    Robertson, D.A.2
  • 17
    • 0344392866 scopus 로고    scopus 로고
    • Latent semantic analysis
    • Nov.
    • S. T. Dumais, "Latent semantic analysis, " Annu. Rev. Inf. Sci. Tech., vol. 38, no. 1, pp. 188-230, Nov. 2004.
    • (2004) Annu. Rev. Inf. Sci. Tech. , vol.38 , Issue.1 , pp. 188-230
    • Dumais, S.T.1
  • 19
    • 56449095373 scopus 로고    scopus 로고
    • A unified architecture for natural language processing: Deep neural networks with multitask learning
    • R. Collobert and J. Weston, "A unified architecture for natural language processing: Deep neural networks with multitask learning, " in Proc. 25th Int. Conf. Machine Learning, 2008, pp. 160-167.
    • (2008) Proc. 25th Int. Conf. Machine Learning , pp. 160-167
    • Collobert, R.1    Weston, J.2
  • 22
    • 84965096153 scopus 로고    scopus 로고
    • Semi-supervised convolutional neural networks for text categorization via region embedding
    • R. Johnson and T. Zhang, "Semi-supervised convolutional neural networks for text categorization via region embedding, " in Proc. Advances Neural Information Processing Systems, 2015, pp. 919-927.
    • (2015) Proc. Advances Neural Information Processing Systems , pp. 919-927
    • Johnson, R.1    Zhang, T.2
  • 29
    • 84932166511 scopus 로고    scopus 로고
    • Deep convolutional neural networks for sentiment analysis of short texts
    • C. N. Dos Santos and M. Gatti, "Deep convolutional neural networks for sentiment analysis of short texts, " in Proc. Int. Conf. Computational Linguistics, 2014, pp. 69-78.
    • (2014) Proc. Int. Conf. Computational Linguistics , pp. 69-78
    • Dos Santos, C.N.1    Gatti, M.2
  • 31
    • 85011857132 scopus 로고    scopus 로고
    • Learning characterlevel representations for part-of-speech tagging
    • C. D. Santos and B. Zadrozny, "Learning characterlevel representations for part-of-speech tagging, " in Proc. 31st Int. Conf. Machine Learning, 2014, pp. 1818-1826.
    • (2014) Proc. 31st Int. Conf. Machine Learning , pp. 1818-1826
    • Santos, C.D.1    Zadrozny, B.2
  • 45
    • 84981713239 scopus 로고    scopus 로고
    • Aspect extraction for opinion mining with a deep convolutional neural network
    • June
    • S. Poria, E. Cambria, A. Gelbukh, "Aspect extraction for opinion mining with a deep convolutional neural network, " Knowl.-Based Syst., vol. 108, pp. 42-49, June 2016.
    • (2016) Knowl.-Based Syst. , vol.108 , pp. 42-49
    • Poria, S.1    Cambria, E.2    Gelbukh, A.3
  • 53
    • 84937936034 scopus 로고    scopus 로고
    • Convolutional neural network architectures for matching natural language sentences
    • B. Hu, Z. Lu, H. Li, Q. Chen, "Convolutional neural network architectures for matching natural language sentences, " in Proc. Advances Neural Information Processing Systems, 2014, pp. 2042-2050.
    • (2014) Proc. Advances Neural Information Processing Systems , pp. 2042-2050
    • Hu, B.1    Lu, Z.2    Li, H.3    Chen, Q.4
  • 60
    • 85029527343 scopus 로고    scopus 로고
    • Analysis of CNN-based speech recognition system using raw speech as input
    • Tech. Rep
    • D. Palaz, M. Magimai-Doss, R. Collobert, "Analysis of CNN-based speech recognition system using raw speech as input, " Idiap, Tech. Rep, 2015.
    • (2015) Idiap
    • Palaz, D.1    Magimai-Doss, M.2    Collobert, R.3
  • 62
    • 26444565569 scopus 로고
    • Finding structure in time
    • J. L. Elman, "Finding structure in time, " Cogn. Sci., vol. 14, no. 2, pp. 179-211, 1990.
    • (1990) Cogn. Sci. , vol.14 , Issue.2 , pp. 179-211
    • Elman, J.L.1
  • 70
    • 84936143793 scopus 로고    scopus 로고
    • Towards end-to-end speech recognition with recurrent neural networks
    • A. Graves and N. Jaitly, "Towards end-to-end speech recognition with recurrent neural networks, " in Proc. 31st Int. Conf. Machine Learning, 2014, pp. 1764-1772.
    • (2014) Proc. 31st Int. Conf. Machine Learning , pp. 1764-1772
    • Graves, A.1    Jaitly, N.2
  • 76
    • 85029529704 scopus 로고    scopus 로고
    • Ensemble application of convolutional and recurrent neural networks for multi-label text categorization
    • G. Chen, D. Ye, E. Cambria, J. Chen, Z. Xing, "Ensemble application of convolutional and recurrent neural networks for multi-label text categorization, " in Proc. Int. Joint Conf. Neural Networks, 2017, pp. 2377-2383.
    • (2017) Proc. Int. Joint Conf. Neural Networks , pp. 2377-2383
    • Chen, G.1    Ye, D.2    Cambria, E.3    Chen, J.4    Xing, Z.5
  • 80
    • 85024868159 scopus 로고    scopus 로고
    • Bayesian network based extreme learning machine for subjectivity detection
    • July
    • I. Chaturvedi, E. Ragusa, P. Gastaldo, R. Zunino, E. Cambria, "Bayesian network based extreme learning machine for subjectivity detection, " J. Franklin Inst., vol. 355, no. 4, pp. 1780-1797, July 2018.
    • (2018) J. Franklin Inst. , vol.355 , Issue.4 , pp. 1780-1797
    • Chaturvedi, I.1    Ragusa, E.2    Gastaldo, P.3    Zunino, R.4    Cambria, E.5
  • 83
    • 0031573117 scopus 로고    scopus 로고
    • Long short-term memory
    • S. Hochreiter and J. Schmidhuber, "Long short-term memory, " Neural Comput., vol. 9, no. 8, pp. 1735-1780, 1997.
    • (1997) Neural Comput , vol.9 , Issue.8 , pp. 1735-1780
    • Hochreiter, S.1    Schmidhuber, J.2
  • 87
    • 84924036578 scopus 로고    scopus 로고
    • From feedforward to recurrent LSTM neural networks for language modeling
    • Mar.
    • M. Sundermeyer, H. Ney, R. Schlüter, "From feedforward to recurrent LSTM neural networks for language modeling, " IEEE Trans. Audio, Speech, Language Process., vol. 23, no. 3, pp. 517-529, Mar. 2015.
    • (2015) IEEE Trans. Audio, Speech, Language Process. , vol.23 , Issue.3 , pp. 517-529
    • Sundermeyer, M.1    Ney, H.2    Schlüter, R.3
  • 101
    • 85039779288 scopus 로고    scopus 로고
    • Targeted aspectbased sentiment analysis via embedding commonsense knowledge into an attentive LSTM
    • Y. Ma, H. Peng, E. Cambria, "Targeted aspectbased sentiment analysis via embedding commonsense knowledge into an attentive LSTM, " in Proc. Association Advancement Artificial Intelligence Conf., 2018, pp. 5876-5883.
    • (2018) Proc. Association Advancement Artificial Intelligence Conf. , pp. 5876-5883
    • Ma, Y.1    Peng, H.2    Cambria, E.3
  • 109
    • 0000337576 scopus 로고
    • Simple statistical gradient-following algorithms for connectionist reinforcement learning
    • R. J. Williams, "Simple statistical gradient-following algorithms for connectionist reinforcement learning, " Mach. Learn., vol. 8, no. 3-4, pp. 229-256, 1992.
    • (1992) Mach. Learn. , vol.8 , Issue.3-4 , pp. 229-256
    • Williams, R.J.1
  • 110
    • 70349231178 scopus 로고    scopus 로고
    • The hidden information state model: A practical framework for POMDP-based spoken dialogue management
    • June
    • S. Young, M. Gašic?, S. Keizer, F. Mairesse, J. Schatzmann, B. Thomson, K. Yu, "The hidden information state model: A practical framework for POMDP-based spoken dialogue management, " Comput. Speech Lang., vol. 24, no. 2, pp. 150-174, June 2010.
    • (2010) Comput. Speech Lang. , vol.24 , Issue.2 , pp. 150-174
    • Young, S.1    Gašic, M.2    Keizer, S.3    Mairesse, F.4    Schatzmann, J.5    Thomson, B.6    Yu, K.7
  • 111
    • 84876682878 scopus 로고    scopus 로고
    • POMDP-based statistical spoken dialog systems: A review
    • S. Young, M. Gašic?, B. Thomson, J. D. Williams, "POMDP-based statistical spoken dialog systems: A review, " Proc. IEEE, vol. 101, no. 5, pp. 1160-1179, 2013.
    • (2013) Proc. IEEE , vol.101 , Issue.5 , pp. 1160-1179
    • Young, S.1    Gašic, M.2    Thomson, B.3    Williams, J.D.4
  • 112
    • 84959164720 scopus 로고    scopus 로고
    • Learning from real users: Rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems
    • P.-h. Su, V. David, D. Kim, T.-h. Wen, S. Young, "Learning from real users: Rating dialogue success with neural networks for reinforcement learning in spoken dialogue systems, " in Proc. Interspeech Conf., 2015, pp. 2007-2011.
    • (2015) Proc. Interspeech Conf. , pp. 2007-2011
    • Su, P.-H.1    David, V.2    Kim, D.3    Wen, T.-H.4    Young, S.5
  • 118
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • Tech. Rep
    • D. E. Rumelhart, G. E. Hinton, R. J. Williams, "Learning internal representations by error propagation, " DTIC Document, Tech. Rep, 1985.
    • (1985) DTIC Document
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 125
    • 22944492273 scopus 로고    scopus 로고
    • Fast and accurate part-of-speech tagging: The SVM approach revisited
    • J. Giménez and L. Marquez, "Fast and accurate part-of-speech tagging: The SVM approach revisited, " Recent Adv. Natural Lang. Process., pp. 153-162, 2004.
    • (2004) Recent Adv. Natural Lang. Process. , pp. 153-162
    • Giménez, J.1    Marquez, L.2
  • 132
    • 85019543974 scopus 로고    scopus 로고
    • A neural probabilistic structured-prediction method for transition-based natural language processing
    • Mar.
    • H. Zhou, Y. Zhang, C. Cheng, S. Huang, X. Dai, J. Chen, "A neural probabilistic structured-prediction method for transition-based natural language processing, " J. Artif. Intell. Res., vol. 58, pp. 703-729, Mar. 2017.
    • (2017) J. Artif. Intell. Res. , vol.58 , pp. 703-729
    • Zhou, H.1    Zhang, Y.2    Cheng, C.3    Huang, S.4    Dai, X.5    Chen, J.6
  • 137
    • 84999008900 scopus 로고    scopus 로고
    • Dynamic memory networks for visual and textual question answering
    • C. Xiong, S. Merity, R. Socher, "Dynamic memory networks for visual and textual question answering, " in Proc. Int. Conf. Machine Learning, 2016, pp. 2397-2406.
    • (2016) Proc. Int. Conf. Machine Learning , pp. 2397-2406
    • Xiong, C.1    Merity, S.2    Socher, R.3
  • 142
    • 84943795710 scopus 로고    scopus 로고
    • Efficient inference and structured learning for semantic role labeling
    • Jan.
    • O. Täckström, K. Ganchev, D. Das, "Efficient inference and structured learning for semantic role labeling, " Trans. Assoc. Comput. Linguistics, vol. 3, pp. 29-41, Jan. 2015.
    • (2015) Trans. Assoc. Comput. Linguistics , vol.3 , pp. 29-41
    • Täckström, O.1    Ganchev, K.2    Das, D.3
  • 143
    • 84943737769 scopus 로고    scopus 로고
    • End-to-end learning of semantic role labeling using recurrent neural networks
    • J. Zhou and W. Xu, "End-to-end learning of semantic role labeling using recurrent neural networks, " in Proc. Annu. Meeting Association Computational Linguistics, 2015, pp. 1127-1137.
    • (2015) Proc. Annu. Meeting Association Computational Linguistics , pp. 1127-1137
    • Zhou, J.1    Xu, W.2
  • 145
    • 84926067654 scopus 로고    scopus 로고
    • Distributed representations of sentences and documents
    • Q. Le and T. Mikolov, "Distributed representations of sentences and documents, " in Proc. 31st Int. Conf. Machine Learning, 2014, pp. 1188-1196.
    • (2014) Proc. 31st Int. Conf. Machine Learning , pp. 1188-1196
    • Le, Q.1    Mikolov, T.2
  • 151
    • 84859895244 scopus 로고    scopus 로고
    • Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales
    • B. Pang and L. Lee, "Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales, " in Proc. 43rd Annu. Meeting Association Computational Linguistics, 2005, pp. 115-124.
    • (2005) Proc. 43rd Annu. Meeting Association Computational Linguistics , pp. 115-124
    • Pang, B.1    Lee, L.2
  • 152
    • 85012037104 scopus 로고    scopus 로고
    • Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages
    • Nov.
    • A. Zadeh, R. Zellers, E. Pincus, L. Morency, "Multimodal sentiment intensity analysis in videos: Facial gestures and verbal messages, " IEEE Intell. Syst., vol. 31, no. 6, pp. 82-88, Nov. 2016.
    • (2016) IEEE Intell. Syst. , vol.31 , Issue.6 , pp. 82-88
    • Zadeh, A.1    Zellers, R.2    Pincus, E.3    Morency, L.4
  • 163
    • 84930630277 scopus 로고    scopus 로고
    • Deep learning
    • May
    • Y. LeCun, Y. Bengio, G. Hinton, "Deep learning, " Nature, vol. 521, no. 7553, pp. 436-444, May 2015.
    • (2015) Nature , vol.521 , Issue.7553 , pp. 436-444
    • LeCun, Y.1    Bengio, Y.2    Hinton, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.