Recent Trends in Unsupervised Summarization
Mohammad Khosravani Amine Trabelsi
Unsupervised summarization is a powerful technique that enables training
summarizing models without requiring labeled datasets. This survey covers
different recent techniques and models used for unsupervised summarization. We
cover extractive, abstractive, and hybrid models and strategies used to achieve
unsupervised summarization. While the main focus of this survey is on recent
research, we also cover some of the important previous research. We
additionally introduce a taxonomy, classifying different research based on
their approach to unsupervised training. Finally, we discuss the current
approaches and mention some datasets and evaluation methods.