NERsocial: Efficient Named Entity Recognition Dataset Construction for Human-Robot Interaction Utilizing RapidNER.
The Dataset
We leverage the RapidNER framework to create NERsocial, a new dataset containing 153K tokens, 134K entities, and 99.4K
sentences across six entity types: drinks, foods, hobbies, jobs, pets, sports
We augmented the six entity types above with three more types (by re-annotating the CoNLL2003 with PEOPLENAME, COUNTRY, ORGANIZATION).
NERsocial is a… See the full description on the dataset page: https://huggingface.co/datasets/atamiles/NERsocial.
