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

作者: | Linh The Nguyen | Dat Quoc Nguyen |

摘要: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 https://github.com/VinAIResearch/PhoNLP

论文地址

https://arxiv.org/abs/2101.01476v1

下载地址

https://arxiv.org/pdf/2101.01476v1.pdf

全部源码

https://github.com/VinAIResearch/PhoNLP 类型: pytorch

dependency parsing language modelling multi-task learning named entity recognition part-of-speech tagging

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