Biomedical Named Entity Recognition Using Transformers with biLSTM + CRF and Graph Convolutional Neural Networks.
Gökberk ÇelkmasatMuhammed Enes AktürkYunus Emre ErtunçAbdul Majeed IssifuMurat Can GanzPublished in: INISTA (2022)
Keyphrases
- named entities
- information extraction
- convolutional neural networks
- named entity recognition
- conditional random fields
- text mining
- relation extraction
- natural language processing
- genia corpus
- question answering
- named entity extraction
- co occurrence
- information retrieval
- convolutional network
- linguistic features
- contextual features
- annotated corpus
- noun phrases
- graph structure
- natural language
- proper names
- weakly supervised
- maximum entropy model
- machine learning
- pairwise
- high dimensional
- global context
- real world
- hidden markov models
- knowledge base
- maximum entropy
- data analysis
- unsupervised learning
- text classification
- markov random field
- semi supervised