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Meituan Technology Team
Meituan Technology Team
Jun 3, 2021 · Artificial Intelligence

ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

ConSERT is a contrastive self‑supervised framework that fine‑tunes BERT with augmented sentence views and NT‑Xent loss to overcome embedding collapse, delivering roughly 8% higher STS performance than prior methods, remaining robust in few‑shot and supervised scenarios, and now deployed in Meituan’s NLP pipelines.

BERTNLPcontrastive learning
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ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer