Author

Da-Chen Lian

National Taiwan University

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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

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 · 0 citations