Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain
by
Nenkova, Ani
, Louis, Annie
in
Experiments
/ Journalism
/ Sentence structure
/ Writing
2024
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain
by
Nenkova, Ani
, Louis, Annie
in
Experiments
/ Journalism
/ Sentence structure
/ Writing
2024
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain
Journal Article
What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain
2024
Request Book From Autostore
and Choose the Collection Method
Overview
Great writing is rare and highly admired. Readers seek out articles that are
beautifully written, informative and entertaining. Yet information-access
technologies lack capabilities for predicting article quality at this level. In
this paper we present first experiments on article quality prediction in the
science journalism domain. We introduce a corpus of great pieces of science
journalism, along with typical articles from the genre. We implement features to
capture aspects of great writing, including surprising, visual and emotional
content, as well as general features related to discourse organization and
sentence structure. We show that the distinction between great and typical
articles can be detected fairly accurately, and that the entire spectrum of our
features contribute to the distinction.
Publisher
MIT Press,MIT Press Journals, The,The MIT Press
Subject
This website uses cookies to ensure you get the best experience on our website.