paper-with-me

Papers

Mining and searching association relation of scientific papers based on deep learning

2022-04-25 · Jie Song, Meiyu Liang, Zhe Xue, Feifei Kou, Ang Li

There is a complex correlation among the data of scientific papers. The phenomenon reveals the data characteristics, laws, and correlations contained in the data of scientific and technological papers in specific fields, which can realize the analysis of scientific and technological big data and help to design applications to serve scientific researchers. Therefore, the research on mining and searching the association relationship of scientific papers based on deep learning has far-reaching practical significance.

📄 PDF Abstract BibTeX arXiv:2204.11488

Code (0)

등록된 구현이 없습니다.

Tasks

Relation

Similar Papers 제목 키워드 기반

A comprehensive review of visualization methods for association rule mining: Taxonomy, Challenges, Open problems and Future ideas

2023-02-24 · Iztok Fister Jr., Iztok Fister, Dušan Fister, Vili Podgorelec 외

Association rule mining is intended for searching for the relationships between attributes in transaction databases. The whole process of rule discovery is very complex, and involves pre-processing techniques, a rule min…

Research on Domain Information Mining and Theme Evolution of Scientific Papers

2022-04-18 · Changwei Zheng, Zhe Xue, Meiyu Liang, Feifei Kou 외

In recent years, with the increase of social investment in scientific research, the number of research results in various fields has increased significantly. Cross-disciplinary research results have gradually become an e…

Representation Learning

Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results

2021-09-21 · Ian H. Magnusson, Scott E. Friedman

Recent transformer-based approaches demonstrate promising results on relational scientific information extraction. Existing datasets focus on high-level description of how research is carried out. Instead we focus on the…

Joint Entity and Relation ExtractionKnowledge GraphsRelation Extraction

Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results

2021-11-01 · EMNLP 2021 11 · Ian Magnusson, Scott Friedman

Recent transformer-based approaches demonstrate promising results on relational scientific information extraction. Existing datasets focus on high-level description of how research is carried out. Instead we focus on the…

Joint Entity and Relation ExtractionKnowledge GraphsRelation Extraction

Discovering associations in COVID-19 related research papers

2020-04-06 · Iztok Fister Jr., Karin Fister, Iztok Fister

A COVID-19 pandemic has already proven itself to be a global challenge. It proves how vulnerable humanity can be. It has also mobilized researchers from different sciences and different countries in the search for a way …