Comments (1)
Yes. The original dataset in CopyR is not suitable for the multi-token problem.
For the paper, I reprocessed the dataset from scratch to find the whole entity. This includes 1. dataset alignment 2. StandfordNER. Not all sentences can be found in the raw dataset, that's the reason why I use StanfordNER to compensate failed sentences.
This repo only contains CopyRE' part (the magic Eq. 10). MTL part (include my dataset) is very old and messy, we are not going to release it.
from copymtl.
Related Issues (14)
- Dataset Problem HOT 1
- where is the loss of the sequence labeling? HOT 9
- What defines the order of the relation triples?
- i can not find ner task in the code
- 可抽取三元组的数量? HOT 2
- 想问下使用selu激活函数哪里是不是和原文不太一样,代码使用了两次selu一次线性映射,原文两次线性映射一次selu
- How many epochs did you train on webnlg dataset? HOT 5
- how to get the id.json HOT 1
- 数据集 HOT 1
- 模型评价时也仅考虑实体的“最后一个词”吗? HOT 1
- 请问加入实体识别后的模型测试的时候怎么工作的呢? HOT 1
- 论文中NovelTagging和GraphRel的结果是只看最后一个token吗? HOT 1
- Question
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from copymtl.