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:
- 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)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/I17-3010.pdf