Weighted automata extraction and explanation of recurrent neural networks for natural language tasks

Recurrent Neural Networks (RNNs) have achieved tremendous success in processing sequential data, yet understanding and analyzing their behaviours remains a significant challenge. To this end, many efforts have been made to extract finite automata from RNNs, which are more amenable for analysis and e...

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Veröffentlicht in:	Journal of logical and algebraic methods in programming Jg. 136; S. 100907
Hauptverfasser:	Wei, Zeming, Zhang, Xiyue, Zhang, Yihao, Sun, Meng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.01.2024
Schlagworte:	Abstraction Explanation Natural languages Recurrent neural networks Weighted finite automata Weighted finite automata Recurrent neural networks Abstraction Natural languages Explanation
ISSN:	2352-2208
Online-Zugang:	Volltext
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