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Found 9 papers, 1 papers with code
Unsupervised Text Style Transfer with Content Embeddings
The style transfer task (here style is used in a broad “authorial” sense with many aspects including register, sentence structure, and vocabulary choice) takes text input and rewrites it in a specified target style preserving the meaning, but altering the style of the source text to match that of the target.
Automating the Detection of Poetic Features: The Limerick as Model Organism
More precisely, we produce an algorithm which focuses on the structural aspects of the limerick – rhyme scheme and rhythm (i. e., stress patterns) – and when tested on a a culled data set of 98, 454 publicly available limericks, our “limerick filter” accepts 67% as limericks.
BPoMP: The Benchmark of Poetic Minimal Pairs – Limericks, Rhyme, and Narrative Coherence
Following the BLiMP schema, the BPoMP tasks use 10, 000 minimal pairs of limerick/corrupted limerick.
CCTAA: A Reproducible Corpus for Chinese Authorship Attribution Research
It is the first standard testbed for authorship attribution on contemporary Chinese prose.
A Call for Clarity in Contemporary Authorship Attribution Evaluation
Recent research has documented that results reported in frequently-cited authorship attribution papers are difficult to reproduce.
Varieties of Plain Language
In particular, the government’s Plain Language Action and Information Network (“PLAIN”) recommends that writers use short sentences and everyday words, as does the Securities and Exchange Commission’s “Plain English Rule.” Since the 1970s, American plain language advocates have moved away from readability measures and favored usability testing and document design considerations.
Reproduction and Replication of an Adversarial Stylometry Experiment
We are able to successfully reproduce and replicate the original results, although we conclude that the effectiveness of the defenses studied is overstated due to a lack of a control group in the original study.
Mode Effects' Challenge to Authorship Attribution
We measure the effect of writing mode on writing style in the context of authorship attribution research using a corpus of documents composed online (in a web browser) and documents composed offline using a traditional word processor.
Evaluating prose style transfer with the Bible
While we present these data as a style transfer corpus, we believe that it is of unmatched quality and may be useful for other natural language tasks as well.
