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Found 6 papers, 1 papers with code
“Beste Grüße, Maria Meyer” — Pseudonymization of Privacy-Sensitive Information in Emails
The exploding amount of user-generated content has spurred NLP research to deal with documents from various digital communication formats (tweets, chats, emails, etc.).
Acquiring a Formality-Informed Lexical Resource for Style Analysis
To track different levels of formality in written discourse, we introduce a novel type of lexicon for the German language, with entries ordered by their degree of (in)formality.
CodE Alltag 2.0 --- A Pseudonymized German-Language Email Corpus
The vast amount of social communication distributed over various electronic media channels (tweets, blogs, emails, etc.
De-Identification of Emails: Pseudonymizing Privacy-Sensitive Data in a German Email Corpus
We deal with the pseudonymization of those stretches of text in emails that might allow to identify real individual persons.
At the Lower End of Language---Exploring the Vulgar and Obscene Side of German
In this paper, we describe a workflow for the data-driven acquisition and semantic scaling of a lexicon that covers lexical items from the lower end of the German language register{---}terms typically considered as rough, vulgar or obscene.
CodE Alltag: A German-Language E-Mail Corpus
We introduce CODE ALLTAG, a text corpus composed of German-language e-mails.
