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PhoNLP: A joint multi-task learning model for Vietnamese part-of-speech tagging, named entity recognition and dependency parsing

2021-01-05 12:13:09
Linh The Nguyen, Dat Quoc Nguyen
arXiv_CL
         
Abstract

We present the first multi-task learning model -- named PhoNLP -- for joint Vietnamese part-of-speech tagging, named entity recognition and dependency parsing. Experiments on Vietnamese benchmark datasets show that PhoNLP produces state-of-the-art results, outperforming a single-task learning approach that fine-tunes the pre-trained Vietnamese language model PhoBERT (Nguyen and Nguyen, 2020) for each task independently. We publicly release PhoNLP as an open-source toolkit under the MIT License. We hope that PhoNLP can serve as a strong baseline and useful toolkit for future research and applications in Vietnamese NLP. Our PhoNLP is available at this https URL

Abstract (translated)

URL

https://arxiv.org/abs/2101.01476

PDF

https://arxiv.org/pdf/2101.01476.pdf

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