MultiNERD: A Multilingual, Multi-Genre and Fine-Grained Dataset for Named Entity Recognition (and Disambiguation).
Simone TedeschiRoberto NavigliPublished in: NAACL-HLT (Findings) (2022)
Keyphrases
- fine grained
- named entity recognition
- natural language processing
- information extraction
- named entities
- named entity disambiguation
- coarse grained
- maximum entropy
- conditional random fields
- text summarization
- cross language information retrieval
- word sense disambiguation
- semi supervised
- relation extraction
- co occurrence
- access control
- wordnet
- annotated corpus
- classifier ensemble
- reference resolution
- machine translation
- text mining
- machine learning
- artificial intelligence
- question answering
- information retrieval systems