In this task, we want to exercise simple parsing of a Wikipedia article and classifying some of its sentences.
Please write a program or script in your preferred language that:
1- Receives as input the title of a English Wikipedia article.
2- Retrieves the text of that article from the MediaWiki API. If using Python, consider using [python-mwapi](https://github.com/mediawiki-utilities/python-mwapi) for this.
3- Identifies individual sentences within that text, along with the corresponding section titles. If using Python, [mwparserfromhell](https://github.com/earwig/mwparserfromhell/) can help you work with wiki markup.
4- Runs those sentences through the model to classify them.
5- Outputs the sentences, one per line, sorted by score given by the model.
This is similar to the run_citation_need_model.py script in the model repository, but that one loads its input statements from an already structured file, and you have to extract that informations directly from a Wikipedia article.
Please create a GitHub (or similar, like BitBucket) repository with your code and send us a link to it by commenting on this task.
Feel free to ping @Miriam or myself if you have questions.