from transformers import pipeline
ner = pipeline(task="ner", model="NYTK/named-entity-recognition-nerkor-hubert-hungarian")
input_text = "A Kovácsné Nagy Erzsébet nagyon jól érzi magát a Nokiánál, azonban a Németországból érkezett Kovács Péter nehezen boldogul a beilleszkedéssel."print(ner(input_text, aggregation_strategy="simple"))
Citation
If you use this model, please cite the following paper:
@inproceedings {yang-language-models,
title = {Training language models with low resources: RoBERTa, BART and ELECTRA experimental models for Hungarian},
booktitle = {Proceedings of 12th IEEE International Conference on Cognitive Infocommunications (CogInfoCom 2021)},
year = {2021},
publisher = {IEEE},
address = {Online},
author = {Yang, Zijian Győző and Váradi, Tamás},
pages = {279--285}
}
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