This special issue seeks to invite scholars interested in using Wikipedia and related Linked Open Data projects as a new kind of source to study literary reception.
Suspicious emails: unclaimed insurance bonds, diamond-encrusted safe deposit boxes, close friends marooned in a foreign country. They pop up in our inboxes, and standard procedure is to delete on sight. But what happens when you reply? Follow along as writer and comedian James Veitch narrates a hilarious, weeks-long exchange with a spammer who offered to cut him in on a hot deal.
This past friday I was teaching a workshop at Coalition for Queens to prepare alumni from their code school for interviews as software developers. One asked about resources for learning how to choose…
Inside Airbnb is an independent, non-commercial set of tools and data that allows you to explore how Airbnb is REALLY being used in cities around the world.
I use Emacs a lot. Not only do I do I use it as my development tool for nearly all my programming work, but I also use it as my task management tool, my calendar and my email client. As I've added more and more tips and guides for using Emacs, I thought I'd collect them in one place.
"Open Data Excuse" Bingo
We might want to use it in a paper People may misinterpret the data Thieves will use it There's no API
I don't mind, but someone else might Lawyers want a custom License It's too complicated We will get too many enquiries
It's too big Terrorists will use it Poor Quality There's already a project to...
What if we want to sell it later It's not very interesting Data Protection We'll get spam
For open data teams; print out a copy and put it on your office wall. Cross out each excuse people give you. There are no prizes, but you can tweet "bingo! #openDataExcuses" if you think it might make you feel better
Generate your own bingo grids at http://data.dev8d.org/devbingo/
Vossian antonomasia is a stylistic device which attributes a certain property to a person by naming another (more well-known, more popular) person as a reference point. For instance, when Jim Koch is described as “the Steve Jobs of Beer”, certain qualities of Steve Jobs, be it entrepreneurship or persuasiveness, are assigned to Jim Koch, co-founder and chairman of the Boston Beer Company. VAs consist of three parts: a source (in our example “Steve Jobs”) serves as paragon to elevate the target (“Jim Koch”) by applying a modifier (“of Beer”) that provides the corresponding context. VA is named after Gerardus Vossius (1577– 1649), the Dutch classical scholar and author of rhetorical textbooks, who first distinguished and described VA as a separate phenomenon.
This manual has been available on this site since about 1996, with improvements taking place frequently. The current version has been published as a book of about 350 pages by Cambridge University Press. By agreement with the Press, however, it will remain posted on this web site. Many improvements in the current version over previous ones are due to the (anonymous) referees of the Press, whom I wish to thank heartily. I also wish to thank Lauren Cowles, of the New York office of the Press, for much help with preparing the original version for publication. The paper edition appears also in Duotone red and black. For information on obtaining the paper edition, take a look at the Cambridge Press catalogue.
P. Moreira, Y. Bizzoni, K. Nielbo, I. Lassen, and M. Thomsen. Proceedings of the The 5th Workshop on Narrative Understanding, page 25--35. Toronto, Canada, Association for Computational Linguistics, (July 2023)
H. Fliegel, and R. DiEsposti. Proceedings of the 28th Annual Precise Time and Time Interval Systems and Applications Meeting, page 189--200. Reston, Virginia, (December 1996)
M. Schwab, R. Jäschke, and F. Fischer. Proceedings of the 6th International Conference on Natural Language and Speech Processing, page 99--109. Association for Computational Linguistics, (2023)