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Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes

arXiv 2110.05847 ↗First posted 12 Oct 2021cs.CL cs.CY cs.LGcited by 0

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Abstract (arXiv)

We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficulties of combining multiple narratives, mostly of poor grammatical quality, in a single text. We report an extensive evaluation of a wide range of abstractive summarisation models in combination with an off-the-shelf machine translation model. Texts are translated into English, summarised, and translated back to the original language. We obtain promising results regarding the fluency, consistency and relevance of the summaries produced. Our approach is easy to implement for many languages for production purposes by simply changing the translation model.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 31 references that are in the map. First posted on arXiv 12 Oct 2021.

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21 of 31 references.

References · 21

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
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  11. 2018Fast Abstractive Summarization with Reinforce-Selected Sentence Rewritingcited by 158
  12. 2018Ranking Sentences for Extractive Summarization with Reinforcement Learningcited by 128
9 more
  1. 2017Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotationcited by 79
  2. 2020Unsupervised Opinion Summarization with Noising and Denoisingcited by 37
  3. 2019Simple Unsupervised Summarization by Contextual Matchingcited by 18
  4. 2018Structure-Infused Copy Mechanisms for Abstractive Summarizationcited by 17
  5. 2019Denoising based Sequence-to-Sequence Pre-training for Text Generationcited by 15
  6. 2021Citizen Participation and Machine Learning for a Better Democracycited by 14
  7. 2018Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networkscited by 11
  8. 2020Learning by Semantic Similarity Makes Abstractive Summarization Bettercited by 7
  9. 2020Online platforms of public participation -- a deliberative democracy or a delusion?cited by 2

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