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I have gone through the code and I feel it can work on any language
what would be your response for that
please do reply me @abderrahmane-mhd
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Facility for running Named Entity Recogition to automatically identify place entities
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Python 3.10.14
python -m pip install auto-labeling-pipeline==0.1.21
python -m pip install pydantic==1.10.10
python -m pip install doccano==1.8.3
](https://github.com/user-attachments/assets/1bd3c467-00c9-497f-a27a-a5aeee1e8d60)
…
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As a **user**, I want to **receive weather alerts for severe conditions**, so that **I can prepare accordingly.**
## Acceptance Criteria
* The user is warned with a red notification when there is an …
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Traceback (most recent call last):
File "E:\自然语言处理\BERT-BILSTM-CRF-main\predict.py", line 70, in
predictor = Predictor(data_name)
File "E:\自然语言处理\BERT-BILSTM-CRF-main\predict.py", line 24,…
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NER dataset shapes:
- Key information file: Containing a list of entities, which serves as key information for the training data
- Training data: Training data consists of a file (.txt, .tsv) c…
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I wanted to take a look at the text-fabric browser for the missieven, I made a virtualenv then followed the instructions in the README, `pip install text-fabric`, and:
```
$ tf clariah/wp6-missiev…
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Hey! Thanks for this work, brilliant!
Im trying to run your model on a macbook m1 (no cuda) with following code:
```
from accord_nlp.text_classification.ner.ner_model import NERModel
model = NE…
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Hi,
Thank you for your amazing work on this paper. I found it truly insightful. I wanted to inquire about the release of the Universal NER Benchmark Data mentioned in the paper and outlined in Appe…