Summary of Alignxie: Improving Multilingual Information Extraction by Cross-lingual Alignment, By Yuxin Zuo et al.
AlignXIE: Improving Multilingual Information Extraction by Cross-Lingual Alignment
by Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng
First submitted to arxiv on: 7 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper investigates Large Language Models (LLMs) and their ability to exhibit spontaneous cross-lingual alignment in Information Extraction (IE). The authors find that while LLMs show promising results, there is a significant imbalance across languages, highlighting an underlying deficiency. To address this issue, the researchers propose AlignXIE, a powerful code-based LLM that enhances cross-lingual IE alignment through two strategies: formulating IE as code generation tasks and incorporating an IE cross-lingual alignment phase. The paper also introduces ParallelNER, a bilingual parallel dataset with 257,190 samples generated using an automatic pipeline for IE parallel data construction. Comprehensive evaluations on 63 IE benchmarks in Chinese and English demonstrate that AlignXIE significantly enhances cross-lingual and multilingual IE capabilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how machines can understand information from different languages. It finds that even though some machines are good at understanding different languages, there’s still a problem because they’re not consistent. To fix this, the researchers created a new machine called AlignXIE that helps machines understand information better across different languages. This new machine uses code to make sure the same information is understood the same way in different languages. The results show that AlignXIE does a much better job than other machines at understanding information from different languages. |
Keywords
» Artificial intelligence » Alignment
