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EMNLP Findings2023

PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India

Ashok Urlana, Pinzhen Chen, Zheng Zhao, Shay B. Cohen, Manish Shrivastava, Barry Haddow

摘要

This paper introduces PMIndiaSum, a multilingual and massively parallel summarization corpus focused on languages in India. Our corpus provides a training and testing ground for four language families, 14 languages, and the largest to date with 196 language pairs. We detail our construction workflow including data acquisition, processing, and quality assurance. Furthermore, we publish benchmarks for monolingual, cross-lingual, and multilingual summarization by fine-tuning, prompting, as well as translate-and-summarize. Experimental results confirm the crucial role of our data in aiding summarization between Indian languages. Our dataset is publicly available and can be freely modified and re-distributed. 1 * Equal contribution. 1 The corpus is released under the CC BY 4.0 license at https://huggingface.co/datasets/PMIndiaData/PMIndiaSum 2 This paper refers to the languages widely used in India as "languages in India" or "Indian languages", but they are not exclusive to India and are spoken worldwide. as bn gu hi kn ml mni mr or pa ta te ur en

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引用它的顶会 Paper5

  1. Detecting and Mitigating Hallucinations in Multilingual SummarisationYifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti 等EMNLP 2023 · 12 次引用
  2. COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline GenerationRaghvendra Kumar, Mohammed Salman S. A, Aryan Sahu, Tridib Nandi 等ACL 2025
  3. BhashaSutra: A Task-Centric Unified Survey of Indian NLP Datasets, Corpora, and ResourcesRaghvendra Kumar, Devankar Raj, Sriparna SahaACL 2026
  4. Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in Indian LanguagesAmir Hossein Yari, Kalmit Kulkarni, Ahmad Raza Khan, Fajri KotoACL 2026
  5. IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic LanguagesHarman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari 等ACL 2024

它引用的 Paper12

  1. XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 LanguagesTahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam, Kazi Samin Mubasshir 等ACL Findings 2021 · 228 次引用
  2. WikiLingua: A New Benchmark Dataset for Multilingual Abstractive SummarizationFaisal Ladhak, Esin Durmus, Claire Cardie, Kathleen R. McKeownEMNLP Findings 2020 · 151 次引用
  3. Multilingual Translation from Denoising Pre-TrainingYuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen 等ACL Findings 2021 · 99 次引用
  4. IndicBART: A Pre-trained Model for Indic Natural Language GenerationRaj Dabre, Himani Shrotriya, Anoop Kunchukuttan, Ratish Puduppully 等ACL Findings 2022 · 82 次引用
  5. Intrinsic Evaluation of Summarization DatasetsRishi Bommasani, Claire CardieEMNLP 2020 · 52 次引用

相关 Paper

  1. Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic LanguagesSumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal 等ACL 2023 · 41 次引用
  2. iNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesDivyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, Gokul N. C. 等EMNLP Findings 2020 · 465 次引用
  3. LR-Sum: Summarization for Less-Resourced LanguagesChester Palen-Michel, Constantine LignosACL Findings 2023 · 3 次引用
  4. CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1, 500+ Language PairsAbhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuan-Fang Li 等ACL 2023 · 23 次引用
  5. MassiveSumm: a very large-scale, very multilingual, news summarisation datasetDaniel Varab, Natalie SchluterEMNLP 2021 · 42 次引用
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