Reader small image

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

Product typeBook
Published inMar 2022
PublisherPackt
ISBN-139781803247335
Edition2nd Edition
Right arrow
Author (1)
Denis Rothman
Denis Rothman
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

Right arrow

Questions

  1. News labeled as fake news is always fake. (True/False)
  2. News that everybody agrees with is always accurate. (True/False)
  3. Transformers can be used to run sentiment analysis on Tweets. (True/False)
  4. Key entities can be extracted from Facebook messages with a DistilBERT model running NER. (True/False)
  5. Key verbs can be identified from YouTube chats with BERT-based models running SRL. (True/False)
  6. Emotional reactions are a natural first response to fake news. (True/False)
  7. A rational approach to fake news can help clarify one’s position. (True/False)
  8. Connecting transformers to reliable websites can help somebody understand why some news is fake. (True/False)
  9. Transformers can make summaries of reliable websites to help us understand some of the topics labeled as fake news. (True/False)
  10. You can change the world if you use AI for the good of us all. (True/False)
lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Transformers for Natural Language Processing - Second Edition
Published in: Mar 2022Publisher: PacktISBN-13: 9781803247335

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