Monolingual Summarization

Monolingual summarization focuses on automatically generating concise summaries of text within a single language, aiming to improve information access and efficiency. Current research explores various model architectures, including pipeline approaches (e.g., separating translation and summarization steps) and end-to-end models, with a strong emphasis on addressing issues like data quality (hallucinations) and achieving robust zero-shot and few-shot performance across different languages. These advancements are significant for improving information retrieval, enabling cross-lingual knowledge sharing, and facilitating efficient processing of large text corpora in diverse languages.