Record link: 
http://hdl.handle.net/20.500.12708/203675
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Title: 
On the Relationship Between RNN Hidden-State Vectors and Semantic Structures
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Citation: 
Muskardin, E., Tappler, M., Pill, I., Aichernig, B., & Pock, T. (2024). On the Relationship Between RNN Hidden-State Vectors and Semantic Structures. In Findings of the Association for Computational Linguistics ACL 2024 (pp. 5641–5658). https://doi.org/10.18653/v1/2024.findings-acl.335
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Publisher DOI: 
10.18653/v1/2024.findings-acl.335
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Muskardin, Edi 
Tappler, Martin 
Pill, Ingo 
Aichernig, Bernhard 
Pock, Thomas 
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Organisational Unit: 
E191-01 - Forschungsbereich Cyber-Physical Systems 
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Published in: 
Findings of the Association for Computational Linguistics ACL 2024 
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Date (published): 
2024
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Event name: 
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) 
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Event date: 
11-Aug-2024 - 16-Aug-2024
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Event place: 
Bangkok, Thailand
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Number of Pages: 
18
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Keywords: 
Recurrent Neural Networks; Clustering; formal languages
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Project title: 
Training and Guiding AI Agents with Ethical Rules: ICT22-023 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
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Research Areas: 
Logic and Computation: 50%
Computer Science Foundations: 50%
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Science Branch: 
1020 - Informatik: 75%
1010 - Mathematik: 25%
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Appears in Collections:
Conference Paper

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