<div class="csl-bib-body">
<div class="csl-entry">Muskardin, E., Tappler, M., Pill, I., Aichernig, B., & Pock, T. (2024). On the Relationship Between RNN Hidden-State Vectors and Semantic Structures. In <i>Findings of the Association for Computational Linguistics ACL 2024</i> (pp. 5641–5658). https://doi.org/10.18653/v1/2024.findings-acl.335</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/203675
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dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.language.iso
en
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dc.subject
Recurrent Neural Networks
en
dc.subject
Clustering
en
dc.subject
formal languages
en
dc.title
On the Relationship Between RNN Hidden-State Vectors and Semantic Structures
en
dc.type
Inproceedings
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dc.type
Konferenzbeitrag
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dc.contributor.affiliation
Graz University of Technology, Austria
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dc.description.startpage
5641
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dc.description.endpage
5658
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dc.relation.grantno
ICT22-023
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Full-Paper Contribution
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tuw.booktitle
Findings of the Association for Computational Linguistics ACL 2024
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tuw.peerreviewed
true
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tuw.project.title
Training and Guiding AI Agents with Ethical Rules
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I1
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C5
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Logic and Computation
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Computer Science Foundations
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50
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50
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tuw.publication.orgunit
E191-01 - Forschungsbereich Cyber-Physical Systems
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tuw.publisher.doi
10.18653/v1/2024.findings-acl.335
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dc.description.numberOfPages
18
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0000-0001-8089-5024
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tuw.author.orcid
0000-0002-3484-5584
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The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024)
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11-08-2024
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16-08-2024
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Hybrid
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Bangkok
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TH
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Muskardin, Edi
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Online
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Informatik
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Mathematik
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1020
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1010
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E191-01 - Forschungsbereich Cyber-Physical Systems
