Authorship attribution for neural text generation

A Uchendu, T Le, K Shu, D Lee - Proceedings of the 2020 …, 2020 - aclanthology.org
In recent years, the task of generating realistic short and long texts have made tremendous
advancements. In particular, several recently proposed neural network-based language …

Turingbench: A benchmark environment for turing test in the age of neural text generation

A Uchendu, Z Ma, T Le, R Zhang, D Lee - ar**: An empirical analysis on its effectiveness and limitation
N Nishida, Y Matsumoto - Transactions of the Association for …, 2022 - direct.mit.edu
Discourse parsing has been studied for decades. However, it still remains challenging to
utilize discourse parsing for real-world applications because the parsing accuracy degrades …

Language models and fusion for authorship attribution

O Fourkioti, S Symeonidis, A Arampatzis - Information Processing & …, 2019 - Elsevier
We deal with the task of authorship attribution, ie identifying the author of an unknown
document, proposing the use of Part Of Speech (POS) tags as features for language …

Representation learning in discourse parsing: A survey

W Song, LZ Liu - Science China Technological Sciences, 2020 - Springer
Neural network based deep learning methods aim to learn representations of data and have
produced state-of-the-art results in many natural language processing (NLP) tasks …

Neural generative rhetorical structure parsing

A Mabona, L Rimell, S Clark, A Vlachos - arxiv preprint arxiv:1909.11049, 2019 - arxiv.org
Rhetorical structure trees have been shown to be useful for several document-level tasks
including summarization and document classification. Previous approaches to RST parsing …

A language-independent authorship attribution approach for author identification of text documents

R Ramezani - Expert Systems with Applications, 2021 - Elsevier
Abstract In the Authorship Attribution (AA) task, the most likely author of textual documents,
such as books, papers, news, and text messages and posts are identified using statistical …

edarkfind: Unsupervised multi-view learning for sybil account detection

R Kumar, S Yadav, R Daniulaityte, F Lamy… - Proceedings of The …, 2020 - dl.acm.org
Darknet crypto markets are online marketplaces using crypto currencies (eg, Bitcoin,
Monero) and advanced encryption techniques to offer anonymity to vendors and consumers …