Search Results for author: Yingchun Ye

Found 3 papers, 0 papers with code

AI Marker-based Large-scale AI Literature Mining

no code implementations1 Nov 2020 Rujing Yao, Yingchun Ye, Ji Zhang, Shuxiao Li, Ou wu

Inspired by the idea of molecular markers tracing in the field of biochemistry, three named entities, namely, methods, datasets and metrics are used as AI markers for AI literature.

Clustering Literature Mining +1

Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention

no code implementations26 Oct 2020 Linlin Hou, Ji Zhang, Ou wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao

We finally apply our model on PAKDD papers published from 2009-2019 to mine insightful results from scientific papers published in a longer time span.

Data Augmentation

Method and Dataset Mining in Scientific Papers

no code implementations29 Nov 2019 Rujing Yao, Linlin Hou, Yingchun Ye, Ou wu, Ji Zhang, Jian Wu

In the field of machine learning, the involved methods (M) and datasets (D) are key information in papers.

Cannot find the paper you are looking for? You can Submit a new open access paper.