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: CoRR (2020)
Keyphrases
- e government
- relation extraction
- named entity recognition
- named entities
- information extraction
- domain specific
- electronic government
- public sector
- natural language processing
- annotated corpus
- government services
- text summarization
- reference resolution
- maximum entropy
- automatic extraction
- semi supervised
- conditional random fields
- question answering
- semantic role labeling
- semantic relations
- named entity recognizer
- general purpose
- knowledge management
- case study
- information retrieval
- text mining
- semantic features
- co occurrence
- domain adaptation
- supervised learning
- software engineering
- digital libraries
- real world