Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction. (arXiv:2208.08280v1 [cs.CL])

Target-oriented Opinion Words Extraction (TOWE) is a fine-grained sentiment
analysis task that aims to extract the corresponding opinion words of a given
opinion target from the sentence. Recently, deep learning approaches have made
remarkable progress on this task. Nevertheless, the TOWE task still suffers
from the scarcity of training data due to the expensive data annotation
process. Limited labeled data increase the risk of distribution shift between
test data and training data. In this paper, we propose exploiting massive
unlabeled …

arxiv data extraction opinion words