@article{haibin2019,
title = {Dive into Deep Learning for Natural Language Processing},
author = {Lin, Haibin and Shi, Xingjian and Lausen, Leonard and Zhang, Aston and He, He and Zha, Sheng and Smola, Alexander},
journal = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): Tutorial Abstracts},
year = {2019},
month = {Jan},
}
Lin, Haibin et al. (2019). Dive into Deep Learning for Natural Language Processing. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): Tutorial Abstracts.
Lin, Haibin, et al.. "Dive into Deep Learning for Natural Language Processing." Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): Tutorial Abstracts, 2019.
Lin, Haibin, et al.. "Dive into Deep Learning for Natural Language Processing." Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): Tutorial Abstracts (2019).
Lin, Haibin et al., 2019. Dive into Deep Learning for Natural Language Processing. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): Tutorial Abstracts.
TY - JOUR
TI - Dive into Deep Learning for Natural Language Processing
AU - Lin, Haibin
AU - Shi, Xingjian
AU - Lausen, Leonard
AU - Zhang, Aston
AU - He, He
AU - Zha, Sheng
AU - Smola, Alexander
PY - 2019
JO - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): Tutorial Abstracts
ER -