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Should I need to use BERT embeddings while tokenizing using BERT tokenizer?

natural-language-processing word-embedding bert word2vec

modified 9 hours ago Community♦ 1

1

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0

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26

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+100

Extracting “hidden” costs from financial statements using NLP

natural-language-processing named-entity-recognition spacy

modified 10 hours ago hohner 11

1

vote

1

answer

69

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Building a template based NLG system to generate a report from data

natural-language-processing long-short-term-memory bert

answered 12 hours ago rahul gaikwad 1

0

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0

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13

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What is the meaning of “Our current objective weights every token equally and lacks a notion of what is most important to predict” in the GPT-3 paper?

natural-language-processing papers open-ai gpt-3

modified yesterday nbro♦ 26.2k

2

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0

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12

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How to Select Model Parameters for Transformer (Heads, number of layers, etc)

natural-language-processing transformer hyperparameter-optimization attention gpt

asked 2 days ago Athena Wisdom 151

-1

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0

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9

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Word2Vec: Identifying many-to-one relationships between words

natural-language-processing word-embedding word2vec

asked Apr 8 at 11:06 Abhimanyu Pallavi Sudhir 109

10

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1

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9k

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Are the dialogs at Sophia's (the robot) appearings scripted?

natural-language-processing reference-request robotics robots sophia

modified Apr 8 at 4:34 NICOLS VERA 1

0

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1

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41

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CAPTCHA based on text comprehension and random tokens

natural-language-processing captcha

modified Apr 4 at 15:14 Faizy 535

1

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1

answer

76

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How can I identify bigrams and trigrams that represent concepts?

natural-language-processing

modified Apr 4 at 13:02 Community♦ 1

3

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2

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331

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How is the F1 score calculated in a question-answering system?

natural-language-processing natural-language-understanding metric question-answering f1-score

answered Apr 2 at 3:14 Chin Hui Chew 1

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0

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15

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How do the trainable projection layer used in PRADO and pQRNN work?

neural-networks deep-learning natural-language-processing

asked Apr 1 at 14:46 Karol 61

1

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1

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40

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How are certain machine learning models able to produce variable-length outputs given variable-length inputs?

machine-learning natural-language-processing recurrent-neural-networks transformer natural-language-generation

modified Mar 31 at 22:26 Faizy 535

2

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1

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56

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Why is the sample size of stochastic gradient descent a power of 2?

deep-learning natural-language-processing stochastic-gradient-descent

modified Mar 30 at 4:02 Community♦ 1

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1

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22

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Extracting values from text based on keywords

natural-language-processing recurrent-neural-networks natural-language-understanding

answered Mar 29 at 14:53 Oliver Mason 4,153

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Should I need to use BERT embeddings while tokenizing using BERT tokenizer?

Extracting “hidden” costs from financial statements using NLP

Building a template based NLG system to generate a report from data

What is the meaning of “Our current objective weights every token equally and lacks a notion of what is most important to predict” in the GPT-3 paper?

How to Select Model Parameters for Transformer (Heads, number of layers, etc)

Word2Vec: Identifying many-to-one relationships between words

Are the dialogs at Sophia's (the robot) appearings scripted?

CAPTCHA based on text comprehension and random tokens

How can I identify bigrams and trigrams that represent concepts?

How is the F1 score calculated in a question-answering system?

How do the trainable projection layer used in PRADO and pQRNN work?

How are certain machine learning models able to produce variable-length outputs given variable-length inputs?

Why is the sample size of stochastic gradient descent a power of 2?

Extracting values from text based on keywords

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