Open access
Jul 2026
Balancing accuracy and efficiency: Evaluating encoder- and decoder-based models for word sense disambiguation and regular polysemy detection
On a large-scale all-words WSD task, the encoder model not only outperformed the decoder model but also generated substantially lower carbon emissions – an eight-fold reduction.
Pin-Er Chen, Da-Chen Lian, Shu-Kai Hsieh
· Natural Language Processing · 0 citations