HITSZ_CDR: an end-to-end chemical and disease relation extraction system for BioCreative V.
Haodi LiBuzhou TangQingcai ChenKai ChenXiaolong WangBaohua WangZhe WangPublished in: Database J. Biol. Databases Curation (2016)
Keyphrases
- end to end
- relation extraction
- automatic extraction
- information extraction
- named entities
- domain specific
- semantic relations
- question answering
- semantic role labeling
- semantic features
- dependency trees
- broad coverage
- named entity recognition
- tree kernels
- parse tree
- multiscale
- wordnet
- co occurrence
- natural language processing
- hidden markov models
- data analysis
- congestion control
- data mining