MultiCoNER v2: a Large Multilingual dataset for Fine-grained and Noisy Named Entity Recognition.
Besnik FetahuZhiyu ChenSudipta KarOleg RokhlenkoShervin MalmasiPublished in: CoRR (2023)
Keyphrases
- model selection
- fine grained
- named entity recognition
- information extraction
- named entities
- natural language processing
- coarse grained
- maximum entropy
- semi supervised
- conditional random fields
- text summarization
- access control
- machine learning
- annotated corpus
- unsupervised learning
- data lineage
- classifier ensemble
- co occurrence
- relation extraction
- data mining
- expectation maximization
- bayesian networks
- artificial intelligence
- named entity disambiguation