Comments (2)
Hi @KnutJaegersberg! Can you share some papers with me to consider if this is possible? Many thanks
from fast_sentence_embeddings.
I read a few papers 2 weeks ago, but I can't recall them.
As I get on the topic now, I found some interesting ones:
https://github.com/ikergarcia1996/MetaVec
SOTA claim.
Also highly inspiring is the idea of radixAI, which reprojects fasttext embeddings into numberbatch knowledge graph space (solving OOV problem).
My intuition is, with graph embeddings we can tackle bias in NLP better.
https://radix.ai/blog/2021/3/a-guide-to-building-document-embeddings-part-1/
But they did not publish them.
from fast_sentence_embeddings.
Related Issues (20)
- Encounter "Divided 0 Error" HOT 3
- Paranmt Model HOT 3
- maintenance HOT 3
- Handling out of vocabulary HOT 2
- Hierarchical (Convolutional) Embeddings HOT 1
- MaxPooling Model
- Add Features to Sentencevectors
- SVD ram subsampling for SIF / uSIF
- Move Away from Travis.CI
- Refactor and benchmark IndexedSentence
- Rework Threading Input class
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- Add gensim 4.0.0 support HOT 5
- ImportError: cannot import name '_l2_norm' from 'gensim.models.keyedvectors HOT 2
- from the Results, CBOW is best, therefore why use SIF? HOT 1
- S3E pooling?
- Have full api document ? HOT 1
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from fast_sentence_embeddings.