Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume 2021
DOI: 10.18653/v1/2021.eacl-main.273
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Summarising Historical Text in Modern Languages

Abstract: We introduce the task of historical text summarisation, where documents in historical forms of a language are summarised in the corresponding modern language. This is a fundamentally important routine to historians and digital humanities researchers but has never been automated. We compile a high-quality gold-standard text summarisation dataset, which consists of historical German and Chinese news from hundreds of years ago summarised in modern German or Chinese. Based on cross-lingual transfer learning techni… Show more

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Cited by 11 publications
(6 citation statements)
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“…Domingo and Casacuberta [13] proposed a method to profit from modern documents to enrich the neural models and conducted a user study. Lastly, Peng et al [36] proposed a method for generating modernized summaries of historical documents. Some approaches to spelling normalization include creating an interactive tool that includes spell checking techniques to assist the user in detecting spelling variations [3].…”
Section: Related Workmentioning
confidence: 99%
“…Domingo and Casacuberta [13] proposed a method to profit from modern documents to enrich the neural models and conducted a user study. Lastly, Peng et al [36] proposed a method for generating modernized summaries of historical documents. Some approaches to spelling normalization include creating an interactive tool that includes spell checking techniques to assist the user in detecting spelling variations [3].…”
Section: Related Workmentioning
confidence: 99%
“…Factuality Evaluation Recent advances in text summarization have presented models and systems that are capable of generating increasingly fluent, controllable, and informative summaries of documents (Liu and Lapata, 2019;Meng et al, 2022;Tang et al, 2022;Goldsack et al, 2022;Peng et al, 2021;Aharoni et al, 2023;Liu et al, 2022d;Rothe et al, 2021;Bhattacharjee et al, 2023;Chen et al, 2023b;He et al, 2023;Chen et al, 2023a). However, they suffer from hallucination and might not be factually faithful towards the source document (Cao et al, 2018;Balachandran et al, 2022;Tang et al, 2023;Liu et al, 2023a;Luo et al, 2023), leading to increased research in factuality evaluation.…”
Section: Related Workmentioning
confidence: 99%
“…However, these pipeline-based methods not only result in error propagation [33] but also make the inference costly as they need to run a summarization system and a translation system sequentially [23].…”
Section: End-to-end Cross-lingual Summarizationmentioning
confidence: 99%