Exploiting heterogeneous scientific literature networks to combat ranking bias: Evidence from the computational linguistics area.
Xiaorui JiangXiaoping SunZhe YangHai ZhugeJianmin YaoPublished in: J. Assoc. Inf. Sci. Technol. (2016)
Keyphrases
- computational linguistics
- scientific literature
- text mining
- natural language processing
- artificial intelligence
- information retrieval
- network analysis
- heterogeneous networks
- machine learning
- biomedical literature
- scientific papers
- scientific articles
- text processing
- text classification
- digital libraries
- data mining
- computer science
- social networks
- complex networks
- information extraction
- text documents
- document clustering
- knowledge discovery
- student research workshop
- network structure
- information retrieval systems
- multimedia
- human language technologies