UIE - Universal Information Extraction

Text2Structure - Structure Extraction Language

(
    (Spot Name: Info Span
        (Asso Name: Info Span)
        (Asso Name: Info Span)
    )
)
# Structure extrating language (SEL) for Universal IE

• Spot Name represents there is a specific information piece with the type of spot name existing in the source text.
• Asso Name indicates there exists a specific information piece in the source text that is with the AssoName association to its upper-level Spotted information in the structure.
• Info Span represents the text span corresponding to the specific spotting or associating information piece in the source text.

Following is an example:

(
    (person: Steve
        (work for: Apple)
    )
    (start-position: became
        (employee: Steve)
        (employer: Apple)
        (title: CEO)
        (time: 1997)
    )
    (orgnization: Apple)
    (time: 1997)
)
# The SEL representation for "Steve became CEO of Apple in 1997."

Prompt paradigm

feature engineering -> neural network architechure engineering -> fine tuning -> prompt engineering

How to choose prompt

Different prompts have different zero-shot or few-shot capbilities. For example, the prompt for extrating person name could be:

1. Which people are contained in the original text?
2. Who are in the text?
3. What are the names?

UIE对Prompt的统一：UIE通过大量数据训练固定了Prompt的构造方式，就是条件+抽取标签，省去了传统Prompt选择太多的问题。

Prompt和原文越相似，效果越好。

Conclusion

UIE可以统一建模不同信息抽取任务，按需自适应地生成目标抽取结构，并从不同的知识来源统一学习通用信息抽取能力。

References

1. Yaojie Lu, etc, from CAS, Baidu and BAAI. Unified Structure Generation for Universal Information Extraction., ACL 2022.
2. PaddleNLP - UIE. 通用信息抽取 UIE(Universal Information Extraction)
3. 通用信息抽取技术与产业应用实战, 2022.5.21
4. 《UIE：基于统一结构生成的通用信息抽取》-韩先培, 2022.7.22
5. https://github.com/universal-ie/UIE