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@khaledJabr @ahalterman
**1.With Pretrained pruned vector and ner spacy trained model, then update the model only with prodigy labled data, like 800 tokens, we get this: no merged ner class yet**
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python -m spacy train ar ./ar_test1 ./data/train.json ./data/dev.json
Training pipeline: ['tagger', 'parser', 'ner']
Starting with blank model 'ar'
Counting training words (limit=0)
Itn Dep L…
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spaCy-pipeline:
1. Set Tokenizer
2. Set Processors (e.g. classification, NER, etc)
- Automatic Batching
- Document will use a "by" implementation that adds the typed data
Requirements:
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I'm trying to run the Spacy example but I'm getting this error:
`ValueError: [E002] Can't find factory for 'rebel' for language English (en). This usually happens when spaCy calls `nlp.create_pipe`…
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当使用ner_crf做pipeline时,会提示没有spacy_doc的定义,我查看了crf_entity_extractor 文件,里面的require里面需要spacy_doc,但下文没有对spacy_doc函数的定义。该如何解决?求教,谢谢。
SupQi updated
3 years ago
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Feel free to use at much as possible of these tutorials but it is also a good excuse to review and re-write.
Some things to keep in mind:
- Start by identifying a real-world problem and/or datas…
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spacy
- A tour of awesome features of spaCy (part 1/2) - https://medium.com/eliiza-ai/a-tour-of-awesome-features-of-spacy-part-1-2-58b32425954f
- A tour of awesome features of spaCy (part 2/…
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We will be using Spacy for NER already. If it can do Doc2Vec as well, that should save some resources.
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## How to reproduce the behaviour
I cannot reproduce the same results when training a NER model using GPU in Google Colab.
When running the same code with CPU it seems to work.
However, when enab…
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- Getting back to Actor-Action-Object structure
- Entity extraction
- POS - verb/noun
- Entity Recognition
- NER-NEL, Named entity Linking (Wikipedia-Wikidata)
- TagMe-Sob…