Chapter 4, Downstream NLP Tasks with Transformers

1. Machine intelligence uses the same data as humans to make predictions. (True/False)

   False. For NLU, humans have access to more information through their senses. Machine intelligence relies on what humans provide for all types of media.

2. SuperGLUE is more difficult than GLUE for NLP models. (True/False)

   True.

3. BoolQ expects a binary answer. (True/False)

   True.

4. WiC stands for Words in Context. (True/False)

   True.

5. Recognizing Textual Entailment (RTE) detects if one sequence entails another sequence. (True/False)

   True.

6. A Winograd Schema predicts if a verb is spelled correctly. (True/False)

   False. Winograd schemas mostly apply to pronoun disambiguation.

7. Transformer models now occupy the top ranks of GLUE and SuperGLUE. (True/False)

   True.

8. Human Baseline Standards are not defined once and for all. They were made tougher to attain by SuperGLUE. (True...