NEREL: a Russian information extraction dataset with rich annotation for nested entities, relations, and wikidata entity links.
Natalia V. LoukachevitchEkaterina ArtemovaTatiana BaturaPavel BraslavskiVladimir IvanovSuresh ManandharAlexander PugachevIgor RozhkovArtem ShelmanovElena TutubalinaAlexey YandutovPublished in: Lang. Resour. Evaluation (2024)
Keyphrases
- named entities
- information extraction
- entity extraction
- entity resolution
- named entity recognition
- natural language processing
- named entity disambiguation
- entity search
- relational information
- relation extraction
- entity ranking
- weakly labeled
- cross document
- question answering
- multiple types
- benchmark datasets
- relational learning
- semantic annotation
- co occurrence
- entity linking
- text processing
- metadata
- text mining
- precision and recall
- conditional random fields
- natural language
- semantic relations
- missing links
- web documents
- structured data
- information retrieval
- morphological analysis
- free text
- text documents
- semi structured
- database
- wikipedia articles
- automatically created
- machine learning
- link structure
- automatic image annotation
- machine translation
- annotated images
- real world
- social networks
- link analysis
- entity retrieval
- automatic annotation
- image annotation
- temporal relations