Search Results for author:
Found 11 papers, 7 papers with code
RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs
This work presents an ensemble system based on various uni-modal and bi-modal model architectures developed for the SemEval 2022 Task 5: MAMI-Multimedia Automatic Misogyny Identification.
Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven
This paper presents the contribution of the Data Science Kitchen at GermEval 2021 shared task on the identification of toxic, engaging, and fact-claiming comments.
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.
Data Fusion for Audiovisual Speaker Localization: Extending Dynamic Stream Weights to the Spatial Domain
Estimating the positions of multiple speakers can be helpful for tasks like automatic speech recognition or speaker diarization.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Variational Autoencoder with Embedded Student-t Mixture Model for Authorship Attribution
In this work, we propose a probabilistic autoencoding framework to deal with this supervised classification task.
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.
