model = AutoAdapterModel.from_pretrained("xlm-roberta-large")
config = AdapterConfig.load("pfeiffer", non_linearity="relu", reduction_factor=16)
model.load_adapter("mlki/es@mlki", config=config)
Description
Knowledge adapter set for multilingual knowledge graph integration. This adapter is for cross-lingual entity alignment enhancement (sentence-level). We trained it with alignments from Wikipedia across 84 languages.
@article{hou2022adapters, title={Adapters for Enhanced Modeling of Multilingual Knowledge and Text}, author={Hou, Yifan and Jiao, Wenxiang and Liu, Meizhen and Allen, Carl and Tu, Zhaopeng and Sachan, Mrinmaya}, journal={arXiv preprint arXiv:2210.13617}, year={2022} }
Architecture
@misc{pfeiffer2020adapterfusion,
title={AdapterFusion: Non-Destructive Task Composition for Transfer Learning},
author={Jonas Pfeiffer and Aishwarya Kamath and Andreas Rücklé and Kyunghyun Cho and Iryna Gurevych},
year={2020},
eprint={2005.00247},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Task
@article{hou2022adapters,
title={Adapters for Enhanced Modeling of Multilingual Knowledge and Text},
author={Hou, Yifan and Jiao, Wenxiang and Liu, Meizhen and Allen, Carl and Tu, Zhaopeng and Sachan, Mrinmaya},
journal={arXiv preprint arXiv:2210.13617},
year={2022}
}