Introducing an Interpretable Deep Learning Approach to Domain-Specific Dictionary Creation: A Use Case for Conflict Prediction

URN to cite this document:: urn:nbn:de:bvb:355-epub-540577
DOI to cite this document:: 10.5283/epub.54057

Häffner, Sonja ; Hofer, Martin ; Nagl, Maximilian

; Walterskirchen, Julian

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 17 Apr 2023 12:42

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Abstract

Recent advancements in natural language processing (NLP) methods have significantly improved their performance. However, more complex NLP models are more difficult to interpret and computationally expensive. Therefore, we propose an approach to dictionary creation that carefully balances the trade-off between complexity and interpretability. This approach combines a deep neural network ...