WNUT '17
material
ID: wnut17
Related Papers
GEMNET: Effective Gated Gazetteer Representations for Recognizing Complex Entities in Low-context Input
AbstractNamed Entity Recognition (NER) remains difficult in real-world settings; current challenges include short texts (low context), emerging entities, and complex entities (e.g. movie names). Gazetteer features can help, but results …...
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning
AbstractNamed Entity Recognition (NER) in Few-Shot setting is imperative for entity tagging in low resource domains. Existing approaches only learn class-specific semantic features and intermediate representations from source domains. This …...