RelBERT: the state-of-the-art lexical relation embedding model.
Project description
RelBERT
This is the official implementation of Distilling Relation Embeddings from Pre-trained Language Models (the camera-ready version of the paper will be soon available!) which has been accepted by the EMNLP 2021 main conference.
In the paper, we propose RelBERT, that is a lexical relation embedding model based on large scale pretrained masked language model. We release
TODO
- readme (huggingface model)
- sample usage
- cleanup unused parameters
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