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2022 ACL ACL 2022

Direct parsing to sentiment graphs

Abstract

AbstractThis 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.

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — sentiment graph
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

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

Topics

Natural Language Processing > Understanding > Parsing Natural Language Processing > Understanding > Semantic Analysis Natural Language Processing > Understanding > Sentiment Analysis Machine Learning > Core Methods > Graphical Models Natural Language Processing > Applications > Sentiment Analysis

Keywords

structured prediction sentiment analysis semantic parsing structured sentiment analysis graph-based parsing graph-based parser sentiment graph
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