-
I am trying to train a model in French with some custom NER labels, however I can't manage to detect emails properly.
My first dataset looked like:
```
Mon O
adresse O
mail O
est O
naomi@gmai…
-
Sorry if this was posted before but I couldn't it after a few searches.
My goal is to take a sentence, run it through BERT, perturb the contextualized embeddings from the output of BERT, and recons…
-
To be removed, once it is done: Please add the appropriate label to this ticket, e.g. feature or enhancement.
**Is your feature/enhancement request related to a problem? Please describe.**
I w…
-
I have generated the contextual embedding by the below code-
python gens/gen_bert.py \
--model_name bert-base-multilingual-cased \
--dataset \
--save_path ./wv/
But when running t…
-
Following the Google Collab example here: https://colab.research.google.com/drive/14OvFnAXggxB8vM4e8vSURUp1TaKnovzX?usp=sharing#scrollTo=ntt9qVFXlk6A,
I was able to implement node classification f…
-
Since the recent improvements in BERT handling I am wondering how useful the char rnn and the fasttext embeddings really are. I have some results suggesting that for modern French, where we have good …
-
**Is your feature request related to a problem? Please describe.**
It's great that DEV has a clear code of conduct, and a mechanism for reporting violation, to help to ensure DEV is an inclusive co…
-
- [x] Add open-source NetMHCpan-4.1 dataset
- [ ] Compute contextual sequence embeddings with either ESM or ProtBertn and add them to `netmhcpan-4.1-train` dataset
- [x] Make `swissProt` datase…
-
in Trabsformer class
def forward(self, features):
"""Returns token_embeddings, cls_token"""
trans_features = {'input_ids': features['input_ids'], 'attention_mask'…
tiexi updated
3 years ago
-
Can we use SBERT to learn meaningful representations at the "word level" while we fine-tune the model with sentence pairs from any specific domain? This way words in the sentences that are semanticall…