COVID-19 Named Entity Recognition for Vietnamese
PhoNER_COVID19 is a dataset for recognizing COVID-19 related named entities in Vietnamese, consisting of 35K entities over 10K sentences. We define 10 entity types with the aim of extracting key information related to COVID-19 patients, which are especially useful in downstream applications. In general, these entity types can be used in the context of not only the COVID-19 pandemic but also in other future epidemics:
The construction of PhoNER_COVID19 is detailed in our NAACL 2021 paper:
@inproceedings{PhoNER_COVID19,
title = {{COVID-19 Named Entity Recognition for Vietnamese}},
author = {Thinh Hung Truong and Mai Hoang Dao and Dat Quoc Nguyen},
booktitle = {Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
year = {2021}
}
By downloading the PhoNER_COVID19 dataset, USER agrees:
- to use PhoNER_COVID19 for research or educational purposes only.
- to not distribute PhoNER_COVID19 or part of PhoNER_COVID19 in any original or modified form.
- and to cite our NAACL paper above whenever PhoNER_COVID19 is employed to help produce published results.
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