Summarizing the Web: Extractive vs. Abstractive Text Summarization in NLP
中文摘要
本文探讨了NLP中抽取式与生成式摘要技术，介绍了从图算法到Transformer模型在信息压缩领域的演进。
English Summary
This article explores extractive versus abstractive summarization in NLP, detailing the evolution from graph algorithms to Transformers for efficient information condensation.
Original Excerpt
From Graph Algorithms to Transformers: How Natural Language Processing Condenses Massive Information Without Losing the Message Continue reading on Medium »