knowledge-graph-learning
knowledge-graph-learning copied to clipboard
COLING-2002-Language Independent NER using a Unified Model of Internal and Contextual Evidence
Summary:
基于 iterative learning in a co-training fashion 的跨语言NER模型,创新点在于使用word-internal和contextual information作为独立的信息来源。对象是西班牙语和荷兰语。
Resource:
- [code](
- [paper-with-code](
Paper information:
- Author:
- Dataset:
- keywords:
Notes:
- Entity-Internal Information
原理是考虑前缀和后缀。但是这种方法有很大的问题:
- 一些拉丁语系的前缀和后缀意思变化很大
- 如果是汉字语系的,效果不知道会怎么样。文中没有给出
- Contextual Information
- 考虑entity的左边和右边的context
- A Unified Structure for both Internal and Contextual Information
- Character-based
Model Graph:
Result::
Thoughts:
Next Reading: