NLP基本业务范围之二

前面已经熟悉了相关博文，fastTEXT，纠错/MLM/NER/情感分析/摘要，本文将继续介绍基本业务。

6，给定文本，做阅读理解题，也即Extractive Question Answering：extracting an answer from a text given a question 。相关数据集为SQuAD。

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
a model on a SQuAD task, you may leverage the examples/pytorch/question-answering/run_squad.py script.
"""
>>> result = question_answere