NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit

Autor:	Pham, Thai-Hoang, Pham, Xuan-Khoai, Nguyen, Tuan-Anh, Le-Hong, Phuong
Rok vydání:	2017
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: 4 pages, 5 figures, 6 tables, accepted to IJCNLP 2017
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1708.07241 Zobrazit plný text záznamu View this record from Arxiv