This paper demonstrates how a graph-based semantic parser can be applied to the task of structured sentiment analysis, directly predicting sentiment graphs from text. We advance the state of the art on 4 out of 5 standard benchmark sets. We release the source code, models and predictions.
@article{arxiv.2203.13209,
title = {Direct parsing to sentiment graphs},
author = {David Samuel and Jeremy Barnes and Robin Kurtz and Stephan Oepen and Lilja Øvrelid and Erik Velldal},
journal= {arXiv preprint arXiv:2203.13209},
year = {2022}
}