Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model

Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi 0001. Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model. In Burcu Can, Maximilian Mozes, Samuel Cahyawijaya, Naomi Saphra, Nora Kassner, Shauli Ravfogel, Abhilasha Ravichander, Chen Zhao, Isabelle Augenstein, Anna Rogers, KyungHyun Cho, Edward Grefenstette, Lena Voita, editors, Proceedings of the 8th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2023, Toronto, Canada, July 13, 2023. pages 315-333, Association for Computational Linguistics, 2023. [doi]

Abstract

Abstract is missing.