Chapter 10, Let Your Data Do the Talking: Story, Questions, and Answers

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

   False.

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

   False.

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

   True.

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

   False.

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

   True.

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

   True.

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

   False.

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

   True.

9. NER can recognize a location and label it as I-LOC. (True/False)

   True.

10. NER can recognize...