Evaluating Transformer's Ability to Learn Mildly Context-Sensitive Languages

Despite the fact that Transformers perform well in NLP tasks, recent studies suggest that self-attention is theoretically limited in learning even some regular and context-free languages. These findings motivated us to think about their implications in modeling natural language, which is hypothesize...

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Bibliographische Detailangaben

Hauptverfasser:	Wang, Shunjie, Steinert-Threlkeld, Shane
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language
Online-Zugang:	Volltext bestellen
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