NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit

Thai-Hoang Pham, Xuan-Khoai Pham, Tuan-Anh Nguyen, Phuong Le-Hong


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.
Anthology ID:
I17-3010
Volume:
Proceedings of the IJCNLP 2017, System Demonstrations
Month:
November
Year:
2017
Address:
Tapei, Taiwan
Editors:
Seong-Bae Park, Thepchai Supnithi
Venue:
IJCNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
37–40
Language:
URL:
https://aclanthology.org/I17-3010
DOI:
Bibkey:
Cite (ACL):
Thai-Hoang Pham, Xuan-Khoai Pham, Tuan-Anh Nguyen, and Phuong Le-Hong. 2017. NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit. In Proceedings of the IJCNLP 2017, System Demonstrations, pages 37–40, Tapei, Taiwan. Association for Computational Linguistics.
Cite (Informal):
NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit (Pham et al., IJCNLP 2017)
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PDF:
https://aclanthology.org/I17-3010.pdf