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Meta-ED: Cross-lingual Event Detection Using Meta-learning for Indian Languages

Published:21 February 2023Publication History
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Abstract

Lack of annotated data is a major concern in Event Detection (ED) tasks for low-resource languages. Cross-lingual ED seeks to address this issue by transferring information across various languages to improve overall performance. In this article, we propose a method for cross-lingual ED with a few training instances. We present a model agnostic meta-learning approach for few-shot cross-lingual ED that is able to find good parameter initialization and enables fast adaptation to new low-resource languages. We evaluate our model on four Indian languages. The results show that our approach significantly outperforms the base model.

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      cover image ACM Transactions on Asian and Low-Resource Language Information Processing
      ACM Transactions on Asian and Low-Resource Language Information Processing  Volume 22, Issue 2
      February 2023
      624 pages
      ISSN:2375-4699
      EISSN:2375-4702
      DOI:10.1145/3572719
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      Publication History

      • Published: 21 February 2023
      • Online AM: 9 August 2022
      • Accepted: 4 July 2022
      • Revised: 20 June 2022
      • Received: 6 April 2022
      Published in tallip Volume 22, Issue 2

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