Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations. (arXiv:2204.10714v1 [cs.CL])

Recent works of opinion expression identification (OEI) rely heavily on the
quality and scale of the manually-constructed training corpus, which could be
extremely difficult to satisfy. Crowdsourcing is one practical solution for
this problem, aiming to create a large-scale but quality-unguaranteed corpus.
In this work, we investigate Chinese OEI with extremely-noisy crowdsourcing
annotations, constructing a dataset at a very low cost. Following zhang et al.
(2021), we train the annotator-adapter model by regarding all annotations as
gold-standard in terms of …

annotations arxiv crowdsourcing opinion