TY  - GEN 
AU  - Rodríguez Barroso, Nuria
AU  - Martínez Cámara, Eugenio
AU  - Camacho Collados, Jose
AU  - Luzón, M. Victoria
AU  - Herrera Triguero, Francisco
PY  - 2024
UR  - https://hdl.handle.net/10481/93687
AB  - The annotation of ambiguous or subjective
NLP tasks is usually addressed by various
annotators. In most datasets, these annotations
are aggregated into a single ground
truth. However, this omits divergent opinions
of annotators, hence missing...
LA  - eng
PB  - MIT Press Direct
TI  - Federated Learning for Exploiting Annotators’ Disagreements in Natural Language Processing
DO  - 10.1162/tacl_a_00664
ER  -