Comments (6)
@VITEK-THE-BEST Thank you very much for your interest in NER DeepPavlov model. That's true the current version of the demo contains incorrect link to the NER model. The demo NER model (with many entities) will be added to the upcoming release of the DeepPavlov library. Please follow tg group DeepPavlovDreamDiscussions to get new updates and ask questions regarding the library.
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Hi, @VITEK-THE-BEST, i think it should be ner_ontonotes_bert_mult
So far I experiment with this model (ner_ontonotes_bert
) and ner_ontonotes_bert_mult
form a separated projects which is purely focused on NER application: https://github.com/nicolay-r/ner-service
Feel free to check out, I can confirm it could be launched in deeppavlov==1.3.0
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Thanks for the reply @nicolay-r. I can run the ner_ontonotes_bert_mult
model locally. But the models have different output classes. For example:
Locally running model ner_ontonotes_bert_mult
:
Computer Sciences Corp., El Segundo, Calif., the capitalization of which exceeds 150 million dollars, is no longer able to access its page on Facebook
ORG──────────────────── GPE─────── GPE─── MONEY────────────── ORG─────
and Instagram developed by Meta. Meta signalled this move would be coming as a response to this company's lobbying of the Online News Act, Bill C-18.
ORG────── ORG── ORG─ LAW──────────────── LAW───────
According to the annual report, after the adoption of these laws, the number of Meta users decreased by 10%.
DATE── ORG─ PER
But on the deeppavlov demo website, the following result is:
The model on the site contains other classes. I also noticed that the quality of the model on the site is often better than that of ner_ontonotes_bert_mult
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@VITEK-THE-BEST, i see, thanks for update! I believe that demo adopts another model or checkpoint rather the one I advertised. Could you please share the link on this demo, so I can have a look on how we can reproduce it?
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@vaskonov, thanks for the clarification and sorting this out!
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Thanks @vaskonov ! I am looking forward to the release of the new ner model!
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Related Issues (20)
- 👩💻📞DeepPavlov Community Call #18
- ERROR while training rel_ranking model of KBQA pipeline HOT 1
- Doesn't work with recent version of pytorch-crf HOT 3
- No such file or directory: 'syntax_ru_syntagrus_bert' HOT 2
- CRF model is not saved to correct path when training NER HOT 3
- ModuleNotFoundError: No module named 'torch' HOT 1
- Predictions NER_Ontonotes_BERT_Mult for entities with interpunction HOT 3
- Can't install model (deeppavlov colab example ) HOT 2
- Predictions NER for entities with interpunction HOT 2
- Neural morphological tagging with DeepPavlov: howto
- Insult detection algorithm (additional insult) HOT 1
- Columns and DataType Not Explicitly Set on line 411 of docred_reader.py
- Проблема с парсингом входных данных через api и через socket HOT 3
- Repl: KeyboardInterrupt, EOFError
- requests.exceptions.SSLError: HTTPSConnectionPool(host='files.deeppavlov.ai', port=443): Max retries exceeded with url: /v1/ner/ner_ontonotes_bert_mult_torch_crf.tar.gz (Caused by SSLError(SSLCertVerificationError(1, '[SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: certificate has expired (_ssl.c:1091)')))
- Outdated Pandas and other dependencies
- Update to pydantic v2
- NER - “input sequence after bert tokenization shouldn’t exceed 512 tokens” (ner_bert_base) HOT 1
- ValueError: BuilderConfig 'terra' not found. Available: ['default']
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