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Hi,
I downloaded the French embeddings, and extracted the zip file.
How can I load these embeddings in a python code and return the embeddings for a specified word, e.g.: embedding("bonjour") ----…
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ConceptNet Numberbatch is a set of semantic vectors (also known as word embeddings) **than can** be used directly as a representation of word meanings or as a starting point for further machine learni…
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Hello,
I'm trying to evaluate some word embeddings with analogies, however, the examples from the jupyter notebooks and documentations are not working, probably deprecated...
```from vecto.benchma…
lfcc1 updated
2 years ago
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`
# Creates segment embeddings for each type of tokens.
segment_embedder = tx.modules.WordEmbedder(
vocab_size=bert_config.type_vocab_size,
hparams=ber…
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- [x] 1. Use Gensim to train word embeddings (why can't we just use pre-trained word embeddings? Maybe we ask Wei if we can just use pretrained word2vec)
- [ ] 2. Take individual job descriptions for…
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Right now our only approach is a fairly simple neural net with word embeddings. The performance might increase if we apply a transformer-based architecture, contextualized embeddings, model fine-tunin…
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판례내용 세부 항목으로 구분
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fastText supervised model does not take into account of the document and words representation, it just learns bag of words and labels.
embeddings are computed only on the relation word->label. it wou…
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### Confirm that this is a metadata correction
- [X] I want to file corrections to make the metadata match the PDF file hosted on the ACL Anthology.
### Anthology ID
2024.bea-1.48
### Type of Pape…
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Hey folks,
this package is absolutely awesome! I'm always watching out for performant small models, so this is a goldmine for me.
I have some questions/possible feature ideas for getting static …
do-me updated
3 weeks ago