Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

CICLing-2019-A Hybrid Generative/Discriminative Model for Rapid Prototyping of Domain-Specific Named Entity Recognition #286

Open
BrambleXu opened this issue Nov 8, 2019 · 0 comments
Assignees
Labels
JP(P) Japanese NLP Problem NER(T) Named Entity Recognition Task

Comments

@BrambleXu
Copy link
Owner

Summary:

#275 的引用论文。基于AutoNER的研究,关注点在于Rapid Prototyping

Resource:

  • pdf
  • [code](
  • [paper-with-code](

Paper information:

  • Author:
  • Dataset:
  • keywords:

Notes:

什么是Rapid Prototyping

#275 的引用论文。

We focus on rapid prototyping of domain-specific NER that only requires a few seed terms because domain-specific terminologies are not necessarily available in other domains. 说白了就是关注点在于快速构建domain specific NER原型。

Model Graph:

image

image

Result:

Thoughts:

Next Reading:

@BrambleXu BrambleXu added NER(T) Named Entity Recognition Task JP(P) Japanese NLP Problem labels Nov 8, 2019
@BrambleXu BrambleXu self-assigned this Nov 8, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
JP(P) Japanese NLP Problem NER(T) Named Entity Recognition Task
Projects
None yet
Development

No branches or pull requests

1 participant