The task focuses on predicting all sentiment graphs in a text, where a single sentiment graph is composed of a sentiment holder, target, expression and polarity.
Publication
Jeremy Barnes, Laura Oberlaender, Enrica Troiano, Andrey Kutuzov, Jan Buchmann, Rodrigo Agerri, Lilja Øvrelid, and Erik Velldal. 2022. SemEval 2022 Task 10: Structured Sentiment Analysis. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1280–1295, Seattle, United States. Association for Computational Linguistics.
Language
Spanish
English
NLP topic
Abstract task
Year
2022
Publication link
Ranking metric
F1
Task results
| System | Sentiment Graph F1 Sort ascending |
|---|---|
| MT-speech | 0.74 |
| SLPL | 0.74 |
| Hitachi | 0.73 |
| zhixiaobao | 0.72 |
| SeqL | 0.70 |
