RuREBus: A Case Study of Joint Named Entity Recognition and Relation Extraction from E-Government Domain.
Vitaly IvaninEkaterina ArtemovaTatiana BaturaVladimir IvanovVeronika SarkisyanElena TutubalinaIvan SmurovPublished in: AIST (2020)
Keyphrases
- e government
- relation extraction
- named entity recognition
- named entities
- information extraction
- domain specific
- natural language processing
- electronic government
- public sector
- government services
- annotated corpus
- conditional random fields
- maximum entropy
- semi supervised
- reference resolution
- automatic extraction
- named entity recognizer
- semantic role labeling
- text summarization
- semantic relations
- text mining
- case study
- knowledge management
- question answering
- artificial intelligence
- semantic features
- domain knowledge
- similarity measure
- high level
- databases