mlsanityData to 7 Oct 2026

Author Identification using Multi-headed Recurrent Neural Networks

arXiv 1506.04891 ↗First posted 16 Jun 2015cs.CL cs.LG cs.NEcited by 13

Not on the map. Why?

Abstract (arXiv)

Recurrent neural networks (RNNs) are very good at modelling the flow of text, but typically need to be trained on a far larger corpus than is available for the PAN 2015 Author Identification task. This paper describes a novel approach where the output layer of a character-level RNN language model is split into several independent predictive sub-models, each representing an author, while the recurrent layer is shared by all. This allows the recurrent layer to model the language as a whole without over-fitting, while the outputs select aspects of the underlying model that reflect their author's style. The method proves competitive, ranking first in two of the four languages.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Jun 2015.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 3; 2022: 2; 2023: 3; 2024: 4; 2025: 1.

13 papers.

Sort:

  1. 2022On the State of the Art in Authorship Attribution and Authorship Verificationcited by 27
  2. 2023Who Wrote it and Why? Prompting Large-Language Models for Authorship Verificationcited by 19
  3. 2021Syllabic Quantity Patterns as Rhythmic Features for Latin Authorship Attributioncited by 5
  4. 2024Grammar as a Behavioral Biometric: Using Cognitively Motivated Grammar Models for Authorship Verificationcited by 4
  5. 2024AIDBench: A benchmark for evaluating the authorship identification capability of large language modelscited by 4
  6. 2022Can You Fool AI by Doing a 180? unicodex2013 A Case Study on Authorship Analysis of Texts by Arata Osadacited by 2
  7. 2023BERT-based Authorship Attribution on the Romanian Dataset called ROSTcited by 2
  8. 2021LG4AV: Combining Language Models and Graph Neural Networks for Author Verificationcited by 1
  9. 2023Authorship identification under domain shift: a survey of stylistic measures and learned author representationscited by 1
  10. 2025One-shot Style Transfer LLM log-probabilities for Authorship Attribution and Verificationcited by 1
  11. 2021Improving Authorship Verification using Linguistic Divergencecited by 0
  12. 2024Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentationcited by 0
1 more
  1. 2024BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media Textscited by 0