Search Results for author:
Found 7 papers, 4 papers with code
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification
The PAN 2021 authorship verification (AV) challenge is part of a three-year strategy, moving from a cross-topic/closed-set AV task to a cross-topic/open-set AV task over a collection of fanfiction texts.
Self-Calibrating Neural-Probabilistic Model for Authorship Verification Under Covariate Shift
We are addressing two fundamental problems in authorship verification (AV): Topic variability and miscalibration.
Unsupervised Classification of Voiced Speech and Pitch Tracking Using Forward-Backward Kalman Filtering
The detection of voiced speech, the estimation of the fundamental frequency, and the tracking of pitch values over time are crucial subtasks for a variety of speech processing techniques.
Deep Bayes Factor Scoring for Authorship Verification
The PAN 2020 authorship verification (AV) challenge focuses on a cross-topic/closed-set AV task over a collection of fanfiction texts.
Variational Autoencoder with Embedded Student-$t$ Mixture Model for Authorship Attribution
In this work, we are extending the Gaussian model for the VAE to a Student-$t$ model, which allows for an independent control of the "heaviness" of the respective tails of the implied probability densities.
Explainable Authorship Verification in Social Media via Attention-based Similarity Learning
Authorship verification is the task of analyzing the linguistic patterns of two or more texts to determine whether they were written by the same author or not.
Similarity Learning for Authorship Verification in Social Media
Authorship verification tries to answer the question if two documents with unknown authors were written by the same author or not.
