Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.
Qingyu ChenAlexis AllotRobert LeamanRezarta IslamajJingcheng DuLi FangWang KaiShuo XuYuefu ZhangParsa BagherzadehSabine BerglerAakash BhatnagarNidhir BhavsarYung-Chun ChangSheng-Jie LinWentai TangHongtong ZhangIlija TavchioskiSenja PollakShubo TianJinfeng ZhangYulia OtmakhovaAntonio Jimeno-YepesHang DongHonghan WuRichard DufourYanis LabrakNiladri ChatterjeeKushagri TandonFréjus A. A. LaleyeLoïc RakotosonEmmanuele ChersoniJinghang GuAnnemarie FriedrichSubhash Chandra PujariMariia ChizhikovaNaveen SivadasanSaipradeep VgZhiyong LuPublished in: Database J. Biol. Databases Curation (2022)
Keyphrases
- biomedical literature
- multi label classification
- image annotation
- multi label
- text mining
- automatic extraction
- protein protein interactions
- semi supervised learning
- medical literature
- binary classification
- text categorization
- text classification
- topic models
- gene ontology
- classification algorithm
- document clustering
- image understanding
- binary classifiers
- multi class
- metadata
- high level
- information retrieval
- image classification
- gene function
- keywords
- association rules
- feature vectors
- classification accuracy
- low level features
- knowledge discovery
- data mining
- machine learning algorithms