ACL-2022-oint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks - Githubissues

BrambleXu / knowledge-graph-learning

A curated list of awesome knowledge graph tutorials, projects and communities.

MIT License

733 stars 121 forks source link

ACL-2022-oint Entity and Relation Extraction Based on Table Labeling Using Convolutional Neural Networks #341

Open BrambleXu opened 1 year ago

BrambleXu commented 1 year ago

Summary:

用CNN对entity和relation进行联合训练。本研究的创新点在于将抽取entity和relation当做一个tabel problem，然后用table representation对entity和relation进行建模。将每个talble当做一个image，每个cell当做一个image pixel。

Resource:

pdf
code： youmima/tablert-cnn
[paper-with-code](

Paper information:

Author:
Dataset: CoNLL04, ACE05, and ADE
keywords:

Notes:

Model Graph:

Result:：

Thoughts:

这个想法倒是挺有意思的

Next Reading: