mlsanityData to 7 Oct 2026

End-to-end Multilingual Coreference Resolution with Mention Head Prediction

arXiv 2209.12516 ↗First posted 26 Sep 2022cs.CLcited by 4

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Abstract (arXiv)

This paper describes our approach to the CRAC 2022 Shared Task on Multilingual Coreference Resolution. Our model is based on a state-of-the-art end-to-end coreference resolution system. Apart from joined multilingual training, we improved our results with mention head prediction. We also tried to integrate dependency information into our model. Our system ended up in 3rd place. Moreover, we reached the best performance on two datasets out of 13.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 14 of its 20 references that are in the map. First posted on arXiv 26 Sep 2022.

Builds on

14 of 20 references.

References · 14

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  3. 2019CamemBERT: a Tasty French Language Modelcited by 368
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  5. 2020German's Next Language Modelcited by 144
  6. 2019Adaptation of Deep Bidirectional Multilingual Transformers for Russian Languagecited by 109
  7. 2021HerBERT: Efficiently Pretrained Transformer-based Language Model for Polishcited by 51
  8. 2021MarIA: Spanish Language Modelscited by 36
  9. 2018Anaphora and Coreference Resolution: A Reviewcited by 31
  10. 2021Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalancited by 26
  11. 2021Czert -- Czech BERT-like Model for Language Representationcited by 22
  12. 2021Multilingual Coreference Resolution with Harmonized Annotationscited by 13
2 more
  1. 2022Findings of the Shared Task on Multilingual Coreference Resolutioncited by 13
  2. 2021Training dataset and dictionary sizes matter in BERT models: the case of Baltic languagescited by 7

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Cited by year

Citing papers per year: 2023: 1; 2024: 3.

4 papers.

  1. 2024Findings of the Third Shared Task on Multilingual Coreference Resolutioncited by 10
  2. 2024CorPipe at CRAC 2024: Predicting Zero Mentions from Raw Textcited by 6
  3. 2024Exploring Multiple Strategies to Improve Multilingual Coreference Resolution in CorefUDcited by 3
  4. 2023Investigating Multilingual Coreference Resolution by Universal Annotationscited by 0