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Automatic Data Retrieval for Cross Lingual Summarization

arXiv 2312.14542 ↗First posted 22 Dec 2023cs.CLcited by 0

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Abstract (arXiv)

Cross-lingual summarization involves the summarization of text written in one language to a different one. There is a body of research addressing cross-lingual summarization from English to other European languages. In this work, we aim to perform cross-lingual summarization from English to Hindi. We propose pairing up the coverage of newsworthy events in textual and video format can prove to be helpful for data acquisition for cross lingual summarization. We analyze the data and propose methods to match articles to video descriptions that serve as document and summary pairs. We also outline filtering methods over reasonable thresholds to ensure the correctness of the summaries. Further, we make available 28,583 mono and cross-lingual article-summary pairs https://github.com/tingc9/Cross-Sum-News-Aligned. We also build and analyze multiple baselines on the collected data and report error analysis.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 17 references that are in the map. First posted on arXiv 22 Dec 2023.

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References · 9

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  3. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
  4. 2021XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languagescited by 346
  5. 2019Multilingual Universal Sentence Encoder for Semantic Retrievalcited by 192
  6. 2022IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languagescited by 42
  7. 2021CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairscited by 39
  8. 2023PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in Indiacited by 11
  9. 2023Indian Language Summarization using Pretrained Sequence-to-Sequence Modelscited by 4

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