not paraphrase: 94%
is paraphrase: 6%
```
Extractive Question Answering
Extractive Question Answering is the task of extracting an answer from a text given a question. An example of a
question answering dataset is the SQuAD dataset, which is entirely based on that task. If you would like to fine-tune a
model on a SQuAD task, you may leverage the run_qa.py and
run_tf_squad.py
scripts.
Here is an example of using pipelines to do question answering: extracting an answer from a text given a question. It
leverages a fine-tuned model on SQuAD.
```py
from transformers import pipeline
question_answerer = pipeline("question-answering")
context = r"""
... Extractive Question Answering is the task of extracting an answer from a text given a question. An example of a
... question answering dataset is the SQuAD dataset, which is entirely based on that task. If you would like to fine-tune
