| --- |
| datasets: |
| - ChancesYuan/KGEditor |
| language: |
| - en |
| pipeline_tag: token-classification |
| --- |
| |
| # Model description |
| We propose a task that aims to enable data-efficient and fast updates to KG embeddings without damaging the performance of the rest. |
| We provide four experimental edit object models of the PT-KGE in the paper experiments used. |
|
|
| ### How to use |
|
|
| Here is how to use this model: |
|
|
| ```python |
| >>> from transformers import BertForMaskedLM |
| >>> model = BertForMaskedLM.from_pretrained(pretrained_model_name_or_path="zjunlp/KGEditor", subfolder="E-FB15k237") |
| ``` |
|
|
| ### BibTeX entry and citation info |
| ```bibtex |
| @article{DBLP:journals/corr/abs-2301-10405, |
| author = {Siyuan Cheng and |
| Ningyu Zhang and |
| Bozhong Tian and |
| Zelin Dai and |
| Feiyu Xiong and |
| Wei Guo and |
| Huajun Chen}, |
| title = {Editing Language Model-based Knowledge Graph Embeddings}, |
| journal = {CoRR}, |
| volume = {abs/2301.10405}, |
| year = {2023}, |
| url = {https://doi.org/10.48550/arXiv.2301.10405}, |
| doi = {10.48550/arXiv.2301.10405}, |
| eprinttype = {arXiv}, |
| eprint = {2301.10405}, |
| timestamp = {Thu, 26 Jan 2023 17:49:16 +0100}, |
| biburl = {https://dblp.org/rec/journals/corr/abs-2301-10405.bib}, |
| bibsource = {dblp computer science bibliography, https://dblp.org} |
| } |
| ``` |
|
|
