Zobrazeno 1 - 10
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pro vyhledávání: '"A A van Niekerk"'
Autor:
Ruppik, Benjamin Matthias, Heck, Michael, van Niekerk, Carel, Vukovic, Renato, Lin, Hsien-chin, Feng, Shutong, Zibrowius, Marcus, Gašić, Milica
A common approach for sequence tagging tasks based on contextual word representations is to train a machine learning classifier directly on these embedding vectors. This approach has two shortcomings. First, such methods consider single input sequenc
Externí odkaz:
http://arxiv.org/abs/2408.03706
Autor:
Feng, Shutong, Lin, Hsien-chin, Geishauser, Christian, Lubis, Nurul, van Niekerk, Carel, Heck, Michael, Ruppik, Benjamin, Vukovic, Renato, Gašić, Milica
Emotions are indispensable in human communication, but are often overlooked in task-oriented dialogue (ToD) modelling, where the task success is the primary focus. While existing works have explored user emotions or similar concepts in some ToD tasks
Externí odkaz:
http://arxiv.org/abs/2408.02417
Autor:
Vukovic, Renato, Arps, David, van Niekerk, Carel, Ruppik, Benjamin Matthias, Lin, Hsien-Chin, Heck, Michael, Gašić, Milica
State-of-the-art task-oriented dialogue systems typically rely on task-specific ontologies for fulfilling user queries. The majority of task-oriented dialogue data, such as customer service recordings, comes without ontology and annotation. Such onto
Externí odkaz:
http://arxiv.org/abs/2408.02361
Autor:
Craft, Clayton L., Barton, Nicholas J., Klug, Andrew C., Scalzi, Kenneth, Wildemann, Ian, Asagodu, Pramod, Broz, Joseph D., Porto, Nikola L., Macalik, Michael, Rizzo, Anthony, Percevault, Garrett, Tison, Christopher C., Smith, A. Matthew, Fanto, Michael L., Schneeloch, James, Sheridan, Erin, Heberle, Dylan, Brownell, Andrew, Sundaram, Vijay S. S., Deenadayalan, Venkatesh, van Niekerk, Matthew, Manfreda-Schulz, Evan, Howland, Gregory A., Preble, Stefan F., Coleman, Daniel, Leake, Gerald, Antohe, Alin, Vo, Tuan, Fahrenkopf, Nicholas M., Stievater, Todd H., Brickman-Soderberg, Kathy-Anne, Smith, Zachary S., Hucul, David
Reliable control of quantum information in matter-based qubits requires precisely applied external fields, and unaccounted for spatial cross-talk of these fields between adjacent qubits leads to loss of fidelity. We report a CMOS foundry-produced, mi
Externí odkaz:
http://arxiv.org/abs/2406.17607
This paper introduces the R package INLAjoint, designed as a toolbox for fitting a diverse range of regression models addressing both longitudinal and survival outcomes. INLAjoint relies on the computational efficiency of the integrated nested Laplac
Externí odkaz:
http://arxiv.org/abs/2402.08335
Autor:
Kamper, Herman, van Niekerk, Benjamin
We revisit a self-supervised method that segments unlabelled speech into word-like segments. We start from the two-stage duration-penalised dynamic programming method that performs zero-resource segmentation without learning an explicit lexicon. In t
Externí odkaz:
http://arxiv.org/abs/2401.17902
Autor:
Sterrantino, Anna Freni, Rustand, Denis, van Niekerk, Janet, Krainski, Elias Teixeira, Rue, Håvard
In this work, we present a new approach for constructing models for correlation matrices with a user-defined graphical structure. The graphical structure makes correlation matrices interpretable and avoids the quadratic increase of parameters as a fu
Externí odkaz:
http://arxiv.org/abs/2312.06289
The integrated nested Laplace approximations (INLA) method has become a widely utilized tool for researchers and practitioners seeking to perform approximate Bayesian inference across various fields of application. To address the growing demand for i
Externí odkaz:
http://arxiv.org/abs/2311.08050
Autor:
Feng, Shutong, Lubis, Nurul, Ruppik, Benjamin, Geishauser, Christian, Heck, Michael, Lin, Hsien-chin, van Niekerk, Carel, Vukovic, Renato, Gašić, Milica
Emotion recognition in conversations (ERC) is a crucial task for building human-like conversational agents. While substantial efforts have been devoted to ERC for chit-chat dialogues, the task-oriented counterpart is largely left unattended. Directly
Externí odkaz:
http://arxiv.org/abs/2308.12648
Publikováno v:
The South African Journal of Clinical Nutrition, Pp 1-8 (2024)
Background: Advances in neonatal medicine, resulting in improved survival, have brought the concept of extra-uterine growth restriction (EUGR), defined as postnatal growth failure secondary to protein and energy deficits, to the forefront as an impor
Externí odkaz:
https://doaj.org/article/72591100e5e746c3b840ceed13df222d