Recognizing Continuous and Discontinuous Adverse Drug Reaction Mentions from Social Media Using LSTM-CRF.
Buzhou TangJianglu HuXiaolong WangQingcai ChenPublished in: Wirel. Commun. Mob. Comput. (2018)
Keyphrases
- social media
- conditional random fields
- continuous functions
- user generated
- pairwise
- social networks
- recurrent neural networks
- user generated content
- social networking
- adverse drug reaction
- social media data
- random fields
- markov random field
- information extraction
- online social networks
- named entity recognition
- big data
- relation extraction
- named entities
- crf model
- maximum entropy
- graphical models
- social media platforms