sentence-transformers
https://github.com/ukplab/sentence-transformers
Python
Sentence Embeddings with BERT & XLNet
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- Issues
- Find n most similar contextual word embeddings to one or multiple sentence embeddings?
- Is the sentence embedding normalized?
- Answer matching
- How mean pooling actually works?
- Creating the training dataset with long documents
- Selecting layer with BERT model
- word embeddings
- How it compares with BERT-score ?
- Can I distinguish sentiment using sbert?
- Error in training_stsbenchmark_avg_word_embeddings.py
- Docs
- Python not yet supported