Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Boenninghoff, Benedikt"'
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. The challenge organizers provide an English meme dataset to de
Externí odkaz:
http://arxiv.org/abs/2204.03953
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. The task aims at extending the identification of offensive language, by including addi
Externí odkaz:
http://arxiv.org/abs/2109.02383
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. In this work, we present a novel hybrid neural
Externí odkaz:
http://arxiv.org/abs/2106.15825
We are addressing two fundamental problems in authorship verification (AV): Topic variability and miscalibration. Variations in the topic of two disputed texts are a major cause of error for most AV systems. In addition, it is observed that the under
Externí odkaz:
http://arxiv.org/abs/2106.11196
Autor:
Schymura, Christopher, Bönninghoff, Benedikt, Ochiai, Tsubasa, Delcroix, Marc, Kinoshita, Keisuke, Nakatani, Tomohiro, Araki, Shoko, Kolossa, Dorothea
Sound event localization aims at estimating the positions of sound sources in the environment with respect to an acoustic receiver (e.g. a microphone array). Recent advances in this domain most prominently focused on utilizing deep recurrent neural n
Externí odkaz:
http://arxiv.org/abs/2106.03903
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. Many different algorithms have been developed for each of the
Externí odkaz:
http://arxiv.org/abs/2103.01173
Autor:
Wissing, Julio, Boenninghoff, Benedikt, Kolossa, Dorothea, Ochiai, Tsubasa, Delcroix, Marc, Kinoshita, Keisuke, Nakatani, Tomohiro, Araki, Shoko, Schymura, Christopher
Estimating the positions of multiple speakers can be helpful for tasks like automatic speech recognition or speaker diarization. Both applications benefit from a known speaker position when, for instance, applying beamforming or assigning unique spea
Externí odkaz:
http://arxiv.org/abs/2102.11588
The PAN 2020 authorship verification (AV) challenge focuses on a cross-topic/closed-set AV task over a collection of fanfiction texts. Fanfiction is a fan-written extension of a storyline in which a so-called fandom topic describes the principal subj
Externí odkaz:
http://arxiv.org/abs/2008.10105
Traditional computational authorship attribution describes a classification task in a closed-set scenario. Given a finite set of candidate authors and corresponding labeled texts, the objective is to determine which of the authors has written another
Externí odkaz:
http://arxiv.org/abs/2005.13930
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. The analysis is traditionally performed by experts who consider linguistic features, which
Externí odkaz:
http://arxiv.org/abs/1910.08144