Paper Accepted in Natural Language Engineering (Cambridge University Press)

Congratulations to Pin-Er Chen and Da-Chen Lian — their paper “Balancing accuracy and efficiency: Evaluating encoder- and decoder-based models for word sense disambiguation and regular polysemy detection”, co-authored with Shu-Kai Hsieh, has been accepted in Natural Language Engineering, published by Cambridge University Press.

Natural Language Engineering is a leading peer-reviewed journal in computational linguistics, and this acceptance marks a significant milestone for the lab’s work on lexical semantics and language model evaluation.

恭喜博士生 陳品而 和博後 連大成 帶頭的論文 〈Balancing accuracy and efficiency: Evaluating encoder- and decoder-based models for word sense disambiguation and regular polysemy detection〉 終於錄取了一級期刊 Natural Language Engineering（Cambridge University Press 出版）！

感謝兩位的努力與堅持，這是實驗室在詞彙語意與語言模型評估研究上的重要成果 🎉