Research on Information Extraction of Municipal Solid Waste Crisis using BERT-LSTM-CRF.
Tianyu WanWenhui WangHui ZhouPublished in: NLPIR (2020)
Keyphrases
- information extraction
- conditional random fields
- named entity recognition
- natural language processing
- machine learning
- relational learning
- information retrieval
- precision and recall
- semi structured
- relation extraction
- three dimensional
- random fields
- crf model
- free text
- recurrent neural networks
- maximum entropy
- early warning
- question answering
- named entities
- structured data
- natural language
- web documents
- graphical models
- parameter learning
- text mining
- semantic tagging
- textual data
- natural language text
- machine translation
- open domain
- environmental impact
- united states
- e government
- web mining
- semantic segmentation
- text documents
- higher order
- crisis management
- semi supervised
- hidden markov models
- image segmentation
- artificial intelligence
- waste management