Quiz 26: Question Answering Systems

Test your understanding of how NLP-based question answering systems analyze questions and extract contextually accurate answers.

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1. What is the main purpose of a question answering system in NLP?

To extract metadata from text

To summarize documents

To generate new questions

To understand natural language questions and provide accurate answers

2. Which of the following is typically the first step in a question answering system?

Database lookup

Answer synthesis

Translating the question

Parsing the question for structure and intent

3. Which component helps a QA system understand the context of a question?

Search history

Knowledge base or passage of text

User interface

File name

4. What kind of model is typically used in modern question answering systems?

Deep learning language model

Image classifier

Rule-based parser

Linear regression

5. Which dataset is commonly used to fine-tune QA models like BERT?

MNIST

COCO

ImageNet

SQuAD

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