mlsanityData to 14 Oct 2026

MultiMUC: Multilingual Template Filling on MUC-4

arXiv 2401.16209 ↗First posted 29 Jan 2024cs.CL cs.AIcited by 3

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Abstract (arXiv)

We introduce MultiMUC, the first multilingual parallel corpus for template filling, comprising translations of the classic MUC-4 template filling benchmark into five languages: Arabic, Chinese, Farsi, Korean, and Russian. We obtain automatic translations from a strong multilingual machine translation system and manually project the original English annotations into each target language. For all languages, we also provide human translations for sentences in the dev and test splits that contain annotated template arguments. Finally, we present baselines on MultiMUC both with state-of-the-art template filling models and with ChatGPT.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 27 of its 74 references that are in the map. First posted on arXiv 29 Jan 2024.

Builds on

27 of 74 references.

References · 27

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  4. 2017Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layercited by 3,509
  5. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
  6. 2018A Call for Clarity in Reporting BLEU Scorescited by 1,799
  7. 2020GShard: Scaling Giant Models with Conditional Computation and Automatic Shardingcited by 1,631
  8. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,312
  9. 2023ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learningcited by 206
  10. 2021Word Alignment by Fine-tuning Embeddings on Parallel Corporacited by 186
  11. 2022Towards a Cleaner Document-Oriented Multilingual Crawled Corpuscited by 143
  12. 2023Towards Making the Most of ChatGPT for Machine Translationcited by 138
15 more
  1. 2023Exploring the Feasibility of ChatGPT for Event Extractioncited by 76
  2. 2020Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpuscited by 49
  3. 2021Document-level Entity-based Extraction as Template Generationcited by 33
  4. 2022Frustratingly Easy Label Projection for Cross-lingual Transfercited by 33
  5. 2021LOME: Large Ontology Multilingual Extractioncited by 23
  6. 2021Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extractioncited by 16
  7. 2020X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Datasetcited by 15
  8. 2019A Discriminative Neural Model for Cross-Lingual Word Alignmentcited by 14
  9. 2021Language Model Priming for Cross-Lingual Event Extractioncited by 13
  10. 2013Probabilistic Frame Inductioncited by 12
  11. 2022Iterative Document-level Information Extraction via Imitation Learningcited by 11
  12. 2023A Unified View of Evaluation Metrics for Structured Predictioncited by 11
  13. 2022Automatic Error Analysis for Document-level Information Extractioncited by 10
  14. 2019Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Rolescited by 9
  15. 2023Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacitycited by 3

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Cited by year

Citing papers per year: 2024: 2; 2025: 1.

3 papers.

  1. 2024A Survey of Video Datasets for Grounded Event Understandingcited by 9
  2. 2024Event-Keyed Summarizationcited by 2
  3. 2025LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real Worldcited by 2