Direct parsing to sentiment graphs

This work addresses sentiment analysis for researchers and practitioners by improving performance on established benchmarks, though it appears incremental as it builds on existing graph-based parsing methods.

The paper tackles structured sentiment analysis by applying a graph-based semantic parser to directly predict sentiment graphs from text, advancing the state of the art on 4 out of 5 standard benchmarks.