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

Taidot: Python, tiedonlouhinta, Deep Learning

Tietoa työnantajasta:
( 0 arvostelua ) Central, Hong Kong

Projektin tunnus: #21279001

Myönnetty käyttäjälle:


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

$140 USD 5 päivässä
(6 Arvostelua)

8 freelanceria on tarjonnut keskimäärin 159$ tähän työhön


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$140 USD 7 päivässä
(34 arvostelua)

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$200 USD 7 päivässä
(37 arvostelua)

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$140 USD 7 päivässä
(19 arvostelua)

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(12 arvostelua)

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$200 USD 3 päivässä
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