Source: Deephub Imba This article is about 4500 words long and is recommended for a 5-minute read. This article describes a method for training high-quality, transferable embeddings using self-supervised learning techniques on user search data from within the website. The number of categories in large websites is vast, and manual tagging is generally unfeasible. Therefore, … Read more
MLNLP community is a well-known machine learning and natural language processing community in China and abroad, covering NLP graduate students, university teachers, and industry researchers. The community’s vision is to promote communication and progress between the academic and industrial circles of natural language processing and machine learning, especially for beginners. Reprinted from | NewBeeNLP Author … Read more
This article is approximately 1100 words long and is recommended to be read in 5 minutes. This article proposes using prompts to capture sentence representations. Although language models like BERT have achieved significant results, they still perform poorly in terms of sentence embeddings due to issues of sentence bias and anisotropy; We found that using … Read more