@InProceedings{pham-EtAl:2017:I17-3,
  author    = {Pham, Hoang  and  Xuan Khoai, Pham  and  Nguyen, Tuan Anh  and  Le-Hong, Phuong},
  title     = {NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit},
  booktitle = {Proceedings of the IJCNLP 2017, System Demonstrations},
  month     = {November},
  year      = {2017},
  address   = {Tapei, Taiwan},
  publisher = {Association for Computational Linguistics},
  pages     = {37--40},
  abstract  = {This paper demonstrates neural network-based toolkit namely NNVLP for essential
	Vietnamese language processing tasks including part-of-speech (POS) tagging,
	chunking, Named Entity Recognition (NER). Our toolkit is a combination of
	bidirectional Long Short-Term Memory (Bi-LSTM), Convolutional Neural Network
	(CNN), Conditional Random Field (CRF), using pre-trained word embeddings as
	input, which outperforms previously published toolkits on these three tasks. 
	We provide both of API and web demo for this toolkit.},
  url       = {http://www.aclweb.org/anthology/I17-3010}
}