Devam Ediyor

Extract Probabilities from the BERT model (NLP), GitHub Repo Available

I need to extract document probabilities from the BERT model. There are many posts talking about implementation. The Github Repo provides docker, so install the repo should not be a problem.

For quick starts, this might be helpful:

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I have 2 types of input files for two types of speeches (L and Q): one contains sentence_ID and content (T1_Table). The other has 2 columns, each line records the beginning and end of a paragraph: The beginning sentence_ID (starting from 0), end sentence_ID. Please note that the sentence IDs start from 0 (T2_Table).

We need to extract the probability of each paragraph for both two types of speech (L and Q) and save the embeddings for each sentence for both L and Q.

All files can be found here

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Final deliverables:

1. script

2. sentence embeddings with sentence_id for L and Q

3. paragraph probabilities with paragraph_id

Beceriler: Python, Veri Madenciliği, Deep Learning

İşveren Hakkında:
( 0 değerlendirme ) Central, Hong Kong

Proje NO: #21279001

Seçilen:

mehullala1706

Hello, I have worked with BERT before and I can do your tasks within budget and timeline.

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Bu iş için 8 freelancer ortalamada $159 teklif veriyor

williams115

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dinhfreedom

Dear sir. Your project attracted my attention at first glance, because I've extensive experience in NLP Programming. I'm really confident about your project, and very eager to join your project. If we have a chance to Daha Fazla

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AlexanderPGR

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topexpert713

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