VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
Computation and Language
2018-05-31 v2
Abstract
We present an easy-to-use and fast toolkit, namely VnCoreNLP---a Java NLP annotation pipeline for Vietnamese. Our VnCoreNLP supports key natural language processing (NLP) tasks including word segmentation, part-of-speech (POS) tagging, named entity recognition (NER) and dependency parsing, and obtains state-of-the-art (SOTA) results for these tasks. We release VnCoreNLP to provide rich linguistic annotations to facilitate research work on Vietnamese NLP. Our VnCoreNLP is open-source and available at: https://github.com/vncorenlp/VnCoreNLP
Cite
@article{arxiv.1801.01331,
title = {VnCoreNLP: A Vietnamese Natural Language Processing Toolkit},
author = {Thanh Vu and Dat Quoc Nguyen and Dai Quoc Nguyen and Mark Dras and Mark Johnson},
journal= {arXiv preprint arXiv:1801.01331},
year = {2018}
}
Comments
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, NAACL 2018, to appear