UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings

Zhi Li, Yuchen Zhai, Chengyu Wang 0001, Minghui Qiu, Kailiang Li, Yin Zhang. UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings. In Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih, editors, Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021. pages 1815-1828, Association for Computational Linguistics, 2021. [doi]

Abstract

Abstract is missing.