| --- | |
| language: en | |
| tags: | |
| - word-embeddings | |
| - word-similarity | |
| ### mirror-bert-base-uncased-word | |
| An unsupervised word encoder proposed by [Liu et al. (2021)](https://arxiv.org/pdf/2104.08027.pdf). Trained with a set of unlabelled words, using [bert-base-uncased](https://huggingface.co/bert-base-uncased) as the base model. Please use `[CLS]` as the representation of the input. | |
| ### Citation | |
| ```bibtex | |
| @inproceedings{ | |
| liu2021fast, | |
| title={Fast, Effective and Self-Supervised: Transforming Masked LanguageModels into Universal Lexical and Sentence Encoders}, | |
| author={Liu, Fangyu and Vuli{\'c}, Ivan and Korhonen, Anna and Collier, Nigel}, | |
| booktitle={EMNLP 2021}, | |
| year={2021} | |
| } | |
| ``` | |