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ACL Findings2023

Echoes from Alexandria: A Large Resource for Multilingual Book Summarization

Alessandro Scirè, Simone Conia, Simone Ciciliano, Roberto Navigli

摘要

In recent years, research in text summarization has mainly focused on the news domain, where texts are typically short and have strong layout features. The task of full-book summarization presents additional challenges which are hard to tackle with current resources, due to their limited size and availability in English only. To overcome these limitations, we present "Echoes from Alexandria", or in shortened form, "Echoes", a large resource for multilingual book summarization. Echoes features three novel datasets: i) Echo-Wiki, for multilingual book summarization, ii) Echo-XSum, for extremely-compressive multilingual book summarization, and iii) Echo-FairySum, for extractive book summarization. To the best of our knowledge, Echoes -with its thousands of books and summaries -is the largest resource, and the first to be multilingual, featuring 5 languages and 25 language pairs. In addition to Echoes, we also introduce a new extractive-then-abstractive baseline, and, supported by our experimental results and manual analysis of the summaries generated, we argue that this baseline is more suitable for book summarization than purely-abstractive approaches. We release our resource and software at https://github.com/Babelscape/ echoes-from-alexandria in the hope of fostering innovative research in multilingual book summarization.

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它引用的 Paper5

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  3. BOOKSUM: A Collection of Datasets for Long-form Narrative SummarizationWojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong 等EMNLP Findings 2022 · 89 次引用
  4. Leveraging Lead Bias for Zero-shot Abstractive News SummarizationChenguang Zhu, Ziyi Yang, Robert Gmyr, Michael Zeng 等SIGIR 2021 · 23 次引用
  5. SummN: A Multi-Stage Summarization Framework for Long Input Dialogues and DocumentsYusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu 等ACL 2022

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