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You're reading from  Transformers for Natural Language Processing - Second Edition

Product typeBook
Published inMar 2022
PublisherPackt
ISBN-139781803247335
Edition2nd Edition
Concepts
Mobile Application Development
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Author (1)
Denis Rothman
Denis Rothman
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Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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Chapter 11, Let Your Data Do the Talking: Story, Questions, and Answers

  1. A trained transformer model can answer any question. (True/False)

    False.

  1. Question-answering requires no further research. It is perfect as it is. (True/False)

    False.

  1. Named Entity Recognition (NER) can provide useful information when looking for meaningful questions. (True/False)

    True.

  1. Semantic Role Labeling (SRL) is useless when preparing questions. (True/False)

    False.

  1. A question generator is an excellent way to produce questions. (True/False)

    True.

  1. Implementing question-answering requires careful project management. (True/False)

    True.

  1. ELECTRA models have the same architecture as GPT-2. (True/False)

    False.

  1. ELECTRA models have the same architecture as BERT but are trained as discriminators. (True/False)

    True.

  1. NER can recognize a location...
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Transformers for Natural Language Processing - Second Edition
Published in: Mar 2022Publisher: PacktISBN-13: 9781803247335
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Denis Rothman

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, designing one of the very first word2matrix patented embedding and patented AI conversational agents. He began his career authoring one of the first AI cognitive Natural Language Processing (NLP) chatbots applied as an automated language teacher for Moet et Chandon and other companies. He authored an AI resource optimizer for IBM and apparel producers. He then authored an Advanced Planning and Scheduling (APS) solution used worldwide.
Read more about Denis Rothman

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