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 achieves state-of-the-art results on these three tasks. We provide both API and web demo for this toolkit.
@article{arxiv.1708.07241,
title = {NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit},
author = {Thai-Hoang Pham and Xuan-Khoai Pham and Tuan-Anh Nguyen and Phuong Le-Hong},
journal= {arXiv preprint arXiv:1708.07241},
year = {2017}
}
Comments
4 pages, 5 figures, 6 tables, accepted to IJCNLP 2017