Papers › Direct parsing to sentiment graphs

Direct parsing to sentiment graphs

24 Mar 2022ACL 2022 5arXiv:2203.13209archive 2025-07-28

David Samuel, Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal

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.

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Sentiment Analysis

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