Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
Qingyu ChenAlexis AllotRobert LeamanRezarta Islamaj DoganJingcheng DuLi FangWang KaiShuo XuYuefu ZhangParsa BagherzadehSabine BerglerAakash BhatnagarNidhir BhavsarYung-Chun ChangSheng-Jie LinWentai TangHongtong ZhangIlija TavchioskiShubo TianJinfeng ZhangYulia OtmakhovaAntonio Jimeno-YepesHang DongHonghan WuRichard DufourYanis LabrakNiladri ChatterjeeKushagri TandonFréjus A. A. LaleyeLoïc RakotosonEmmanuele ChersoniJinghang GuAnnemarie FriedrichSubhash Chandra PujariMariia ChizhikovaNaveen SivadasanZhiyong LuPublished in: CoRR (2022)
Keyphrases
- biomedical literature
- multi label classification
- image annotation
- multi label
- text mining
- automatic extraction
- protein protein interactions
- text classification
- text categorization
- medical literature
- semi supervised learning
- gene ontology
- topic models
- binary classification
- information retrieval
- semantic relationships
- binary classifiers
- document clustering
- multi class
- classification algorithm
- unsupervised learning
- image classification
- natural language processing
- data analysis
- metadata
- data sets