Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings

Unsupervised sentence embeddings task aims to convert sentences to semantic vector representations. Most previous works directly use the sentence representations derived from pretrained language models. However, due to the token bias in pretrained language models, the models can not capture the fine...

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Bibliographische Detailangaben

Hauptverfasser:	Liu, Junlong, Shang, Xichen, Feng, Huawen, Zheng, Junhao, Ma, Qianli
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Learning
Online-Zugang:	Volltext bestellen
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