Search Results for author:
Found 5 papers, 3 papers with code
ALMs: Authorial Language Models for Authorship Attribution
In this paper, we introduce an authorship attribution method called Authorial Language Models (ALMs) that involves identifying the most likely author of a questioned document based on the perplexity of the questioned document calculated for a set of causal language models fine-tuned on the writings of a set of candidate author.
American cultural regions mapped through the lexical analysis of social media
Through a hierarchical clustering of the data in this lower-dimensional space, this method yields clear cultural areas and the topics of discussion that define them.
On learning and representing social meaning in NLP: a sociolinguistic perspective
The field of NLP has made substantial progress in building meaning representations.
Do Word Embeddings Capture Spelling Variation?
Analyses of word embeddings have primarily focused on semantic and syntactic properties.
Dimensions of Abusive Language on Twitter
In this paper, we use a new categorical form of multidimensional register analysis to identify the main dimensions of functional linguistic variation in a corpus of abusive language, consisting of racist and sexist Tweets.
