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의미역 인식에 적용된 심층학습 기법 동향  

Im, Su-Jong (한국전자통신연구원)
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1 Y. Bengio, R. Ducharme, P. Vincent, and C. Janvin, "A neural probabilistic language model", The Journal of Machine Learning Research, 3, pp.1137-1155, 2003.
2 Holger Schwenk and Jean-Luc Gauvain. "Training New-al Network Language Models On Very Large Corpora," in Proc. Joint Conference HLT/EMNLP, October 2005.
3 Collobelt, Ronan, and Jason Weston. "Fast semantic extraction using a novel neural network architecture." Annual meeting-association for computational linguistics. Vol. 45. No. 1. 2007.
4 R. Collobert and J. Weston, "A unified architecture for natural language processing: Deep neural networks with multitask learning," in International Conference on Machine Learning, ICML, 2008.
5 Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner, "Gradient-ased learning applied to document recognition", Proceedings ofthe IEEE, 86(11), pp. 2278-2324, 1998.   DOI
6 Bridle, John S. "Probabilistic interpretation of feedforward classification network outputs, with relationships to statistical pattern recognition." Neurocomputing. Springer Berlin Heidelberg, pp. 227-236, 1990.
7 Fonseca, Erick R., and Joao Luis G. Rosa. "A two-step convolutional neural network approach for semantic role labeling." Neural Networks (IJCNN), The 2013 International Joint Conference on. IEEE, 2013.
8 P. D. Turney and P. Pantel, "From Frequency to Meaning: Vector Space Models of Semantics," Journal of Artificial Intelligence Research, vol. 37, pp. 141 - 188, 2010.   DOI
9 Schuster, Mike, and Kuldip K. Paliwal. "Bidirectional recurrent neural networks." Signal Processing, IEEE Transactions on 45.11, pp. 2673-2681, 1997.   DOI
10 Kombrink, Stefan, et al. "Recurrent Neural Network Based Language Modeling in Meeting Recognition." INTERSPEECH. 2011.
11 S. Hochreiter and J. Schmidhuber, "Long short-term memory", Neural computation,9(8), pp. 1735-1780, 1997.   DOI
12 Zhou, Jie, and Wei Xu. "End-to-end Learning of Semantic Role Labeling Using Recurrent Neural Networks.", In Proc. 53rd ACL, pp.1127-1137, 2015.
13 Graves, Alex, et al. "A novel connectionist system for unconstrained handwriting recognition." Pattern Analysis and Machine Intelligence, IEEE Transactions on 31.5, pp. 855-868, 2009.   DOI
14 Wang, Zhen, et al. "Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks.", In Proc. of the 2015 Conference on Empirical Methods in Natural Language Processing(EMNLP), pp. 1626-1631, 2015.
15 FitzGerald, Nicholas, et al. "Semantic Role Labeling with Neural Network Factors." In Proc. of the 2015 Conference on Empirical Methods in Natural Language Processing(EMNLP), pp. 960-970, 2015.
16 R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa, "Natural language processing(almost) from scratch", The Journal of Machine Learning Research, 12, pp. 2493-2537, 2011.
17 M. Surdeanu et aI., "The CoNLL-2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies," Proc. of the CoNLL-2008, pp.159-177, 2008
18 Veronis, Jean, and Nancy M. Ide. "Word sense disambiguation with very large neural networks extracted from machine readable dictionaries." Proceedings of the 13th conference on Computational linguistics-Volume 2. Association for Computational Linguistics, 1990.
19 조정미, 김길창, "한국어 의미 해석시 중의성 해소에 대한 연구,", 정보과학회지, 제24권 제7호, pp.71-83, 1996.