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Minh Le Nguyen Associate Professor
School of Information Science(Department of Information Science・Artificial Intelligence)

Results 1-20 of about 111

  • 1. An Analysis of Majority Voting in Homogeneous Groups for Checkers: Understanding Group Performance through Unbalance,Danilo S. Carvalho, Minh Le Nguyen, and Hiroyuki Iida,In Proceedings The Fifteenth International Conference on Advances in Computer Games (ACG2017),2017/07
  • 2. Neural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation,Tran Van Khanh and Minh Le Nguyen,In Proceedings SIGDIAL 2017,2017/08
  • 3. Nested named entity recognition using multilayer recurrent neural networks,Son Nguyen Truong and Minh Le Nguyen,In Proceedings PACLING 2017,2017/08
  • 4. A Deep Neural Architecture for Sentence-level Sentiment Classification in Twitter Social Networking,Huy Nguyen and Minh Le Nguyen,In Proceedings PACLING 2017,2017/08
  • 5. Improving Legal Information Retrieval by DistributionalComposition with Term Order Probabilities,Danilo S. Carvalho∗, Vu Duc Tran, Khanh Van Tran, and Minh Le Nguyen,In Proceedings COLIEF 2017,2017/06
  • 6. Improving Legal Information Retrieval by DistributionalComposition with Term Order Probabilities,Danilo S. Carvalho∗, Vu Duc Tran, Khanh Van Tran, and Minh Le Nguyen,In Proceedings COLIEF 2017,2017/06
  • 7. Towards Developing Dialogue Systems with Entertaining Conversations.,Hai-Long Trieu, Hiroyuki Iida, Nhien Pham Hoang Bao, Le-Minh Nguyen,In Proceedings ICAART 2017,2,511-518,2017
  • 8. Summarizing Web Documents Using Sequence Labeling with User-Generated Content and Third-Party Sources.,Minh-Tien Nguyen, Duc-Vu Tran, Chien-Xuan Tran, Minh Le Nguyen,In Proceedings NLDB 2017,454,14,2017/06
  • 9. Enhancing Pivot Translation Using Grammatical and Morphological Information,Tried Hai Long and Minh Le Nguyen,In Proceedings PACLING,2017/08
  • 10. Semantic Refinement GRU-based Neural Language Generation for Spoken Dialogue Systems,Tran Van Khanh and Minh Le Nguyen,In Proceedings PACLING 2017,2017/08
  • 11.  Deletion-based sentence compression using Bi-enc-dec LSTM,Lai Dac Viet, Nguyen Truong Son, and Minh Le Nguyen,In Proceedings PACLING 2017,2017/08
  • 12.  Recognizing entailments in legal texts using sentence encoding-based and decomposable attention models. COLIEE 2017,Nguyen Truong Son, Phan Viet Anh, Nguyen Le Minh.,In Proceedings COLIEF 2017,2017
  • 13. Single and multiple layer BI-LSTM-CRF for recognizing requisite and effectuation parts in legal texts.,Son Nguyen Truong, Nguyen Le Minh, Ken Satoh, Tojo Satoshi and Akira Shimazu.,In Proceedings ASAIL 2017,2017/06
  • 14. Building Lexical Vector Representations from Concept Definitions,Danilo Carvalho and Minh Le Nguyen,In Proceedings EACL 2017,2017/04
  • 15.  Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks,Tran Van Khanh and Minh Le Nguyen,In Proceedings CONLL 2017,2017/08
  • 16. Efficient Neural-based patent document segmentation with Term Order Probabilities,Danilo S. Carvalho and Minh-Le Nguyen,In Proceedings 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning,2017/04
  • 17. Phrase-Based Compressive Summarizationfor English-Vietnamese,Tung Le, Minh Le Nguyen, Akira Shimazu, and Dinh Dien,IUKM 2016, LNAI 9978, 2016,pp. 1–11
  • 18. Applying Semantic Similarity to Phrase Pivot Translation,,Hai-Long Trieu, Le-Minh Nguyen.,In Proceedings ICTAI 2016 (referred),2016/11
  • 19. Lexical to Discourse-level Corpus Modeling for Legal Question Answering,Danilo Carvalho, Vu Tran, Khanh Tran, Viet Lai and Nguyen Le Minh,In Proceedings of JURISN 2016
  • 20. Legal Information Extraction/Entailment Using SVM-Ranking and Tree-based Convolutional Neural Network,Truong-Son Nguyen, Viet-Anh Phan, Thanh-Huy Nguyen, Hai-Long Trieu, Ngoc-Phuong Chau, Trung-Tin Pham and Nguyen Le Minh,In Proceedings JURISN 2016

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