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Status: Unchecked ×Keyword: information extraction ×Clear all

2 claims from 1 paper

1. Computer Science › Topic Modeling

   Prompt-Learning for Cross-Lingual Relation Extraction

   Hsu, Zan, Ding et al. · 2023

   The paper presents Prompt-XRE, a prompt-tuning method for cross-lingual relation extraction with mBART, tested on ACE05 and on a newly built English-Chinese dataset, WMT17-EnZh XRE.

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   1. Unchecked“Our extensive experiments, conducted on the low-resource ACE05 benchmark across multiple languages, demonstrate that our Prompt-XRE algorithm significantly outperforms both vanilla multilingual PLMs and other existing models, achieving state-of-the-art perfo…
   2. UncheckedOn a new large English-Chinese dataset, the Prompt-XRE method is reported to work well compared with other competitive baseline methods.“Experiments on WMT17-EnZh XRE also show the effectiveness of our Prompt-XRE against other competitive baselines.”