This article summarizes and categorizes the contrastive learning based sentence representation models, common evaluation tasks for assessing the quality of ...
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Learning high-quality sentence representations is a fundamental problem of natural language processing which could benefit a wide range of downstream tasks.
Dec 31, 2022 · To fill this gap, this article summarizes and categorizes the contrastive learning based sentence representation models, common evaluation tasks ...
Contrastive Learning of Sentence Representations - ACL Anthology
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A novel approach which applies contrastive learning to learn universal sentence representations on top of pre-trained language models.
We propose Contrastive Learning of Sentence Representations (CLSR), a novel approach which applies contrastive learning to learn universal sentence ...
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What is contrastive learning of sentence representations?
What is contrastive representation learning?
Sep 8, 2023 · SimCSE (Similarity-based Contrastive Self-supervised Learning) is a contrastive learning-based framework for learning sentence representations.
Contrastive Learning of Sentence Representations (CLSR), a novel approach which applies contrastive learning to learn universal sentence representations on ...
This framework provides implementations of our models developed for sentence representation learning ... Contrastive Learning of sentence representations (VaSCL).
Jun 15, 2023 · To fill this gap, this article summarizes and categorizes the contrastive learning based sentence representation models, common evaluation tasks ...
May 17, 2024 · Existing methods have explored utilizing LLMs as data annotators to generate synthesized data for training contrastive learning based sentence ...