A Dataset of Sustainable Diet Arguments on Twitter
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Documents
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Final published version, 377 KB, PDF document
Sustainable development requires a significant change in our dietary habits. Argument mining can help achieve this goal by both affecting and helping understand people’s behavior. We design an annotation scheme for argument mining from online discourse around sustainable diets, including novel evidence types specific to this domain. Using Twitter as a source, we crowdsource a dataset of 597 tweets annotated in relation to 5 topics. We benchmark a variety of NLP models on this dataset, demonstrating strong performance in some sub-tasks, while highlighting remaining challenges.
Original language | English |
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Title of host publication | Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI) |
Publisher | Association for Computational Linguistics |
Publication date | 2022 |
Pages | 40–58 |
Publication status | Published - 2022 |
Event | 2nd Workshop on NLP for Positive Impact (NLP4PI) - Abu Dhab, United Arab Emirates Duration: 7 Dec 2022 → … |
Workshop
Workshop | 2nd Workshop on NLP for Positive Impact (NLP4PI) |
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Land | United Arab Emirates |
By | Abu Dhab |
Periode | 07/12/2022 → … |
Links
- https://aclanthology.org/2022.nlp4pi-1.5
Final published version
ID: 339843911