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.
Direct parsing to sentiment graphs
A graph-based semantic parser achieves state-of-the-art results on structured sentiment analysis by directly predicting sentiment graphs from text.
- Year
- 2022
- Venue
- ACL 2022 5
- Authors
- 6
- Hosting
- Abstract onlyARXIV-DEFAULT
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- Abstract & full text
- arxiv.org/abs/2203.13209v2ARXIV-DEFAULT
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- Semantic Scholar