Interpretable Architectures and Algorithms for Natural Language Processing
This thesis has two parts: Firstly, we introduce the human level-interpretable models using Tsetlin Machine (TM) for NLP tasks. Secondly, we present an interpretable model using DNNs. The first part combines several architectures of various NLP tasks using TM along with its robustness. We use this m...
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Published in | Doctoral Dissertations at the University of Agder |
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Main Author | |
Format | Dissertation |
Language | English |
Published |
University of Agder
2022
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Online Access | Get more information |
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