Korean Semantic Role Labeling using Stacked Bidirectional LSTM-CRFs

목차 (Table of Contents)

• 요약
• Abstract
• 1. 서론
• 2. 관련 연구
• 3. 딥러닝 기반의 한국어 의미역 결정 시스템
• 4. 실험
• 5. 결론
• References

참고문헌 (Reference)

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6 Changki Lee, "Named Entity Recognition using Long Short-Term Memory Based Recurrent Neural Network" 645-647, 2015

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8 Kim Wansu, "Korean Semantic Role Labeling using Case Frame and Frequency" 651-653, 2015

9 Jangseong Bae, "Korean Semantic Role Labeling using Backward LSTM CRF" 194-197, 2015

10 Martha Palmer, "Korean Propbank"

11 "Exobrain corpus"

12 Jie Zhou, "End-to-end learning of semantic role labeling using recurrent neural networks" 1127-1137, 2015

13 Jangseong Bae, "End-to-end Learning of Korean Semantic Role Labeling Using Bidirectional LSTM CRF" 566-568, 2015

14 Nitish Srivastava, "Dropout : a simple way to prevent neural networks from overfitting" 15 (15): 1929-1958, 2014

15 Tomas Mikolov, "Distributed Representations of Words and Phrases and their Compositionality" 3111-3119, 2013

16 Byoung-Soo kim, "Bootstrapping for Semantic Role Assignment of Korean Case Marke" 33 (33): 2006

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18 Yoshua Bengio, "A neural probabilistic language model" 3 : 1137-1155, 2003