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--- |
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license: mit |
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language: |
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- lv |
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tags: |
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- food |
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- image |
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- classification |
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- image-text relation |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: relation |
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dtype: string |
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- name: tweet_id |
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dtype: string |
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- name: text |
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dtype: string |
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pretty_name: Latvian Twitter Eater Corpus - Image-text Relation Classification |
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size_categories: |
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- n<1K |
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--- |
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# Latvian Twitter Eater Corpus - Image-text Relation Classification Test Set |
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The data set contains images attached to the tweets, tweet IDs, text, and a manually annotated relation class between the image and tweet text. |
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The relation classes are similar to the ones in the paper "[Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts](https://aclanthology.org/P19-1272/)" |
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Relations: |
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--------- |
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0 - The image ADDS to tweet meaning and tweet text IS represented in the image |
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1 - The image ADDS to tweet meaning but tweet text is NOT represented in the image |
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2 - The image does NOT ADD to tweet meaning but tweet text IS represented in the image |
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3 - The image does NOT ADD to tweet meaning and tweet text is NOT represented in the image |
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Publications |
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--------- |
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If you use this corpus or scripts, please cite the following paper: |
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Matīss Rikters, Edison Marrese-Taylor, Rinalds Vīksna (2024). "[Annotations for Exploring Food Tweets from Multiple Aspects.](https://aclanthology.org/2024.lrec-main.111/)" In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ([LREC-COLING 2024](https://lrec-coling-2024.org/)) (2024). |
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```bibtex |
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@inproceedings{rikters-etal-2024-annotations-exploring, |
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title = "Annotations for Exploring Food Tweets from Multiple Aspects", |
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author = "Rikters, Matiss and |
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V{\=\i}ksna, Rinalds and |
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Marrese-Taylor, Edison", |
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editor = "Calzolari, Nicoletta and |
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Kan, Min-Yen and |
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Hoste, Veronique and |
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Lenci, Alessandro and |
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Sakti, Sakriani and |
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Xue, Nianwen", |
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booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)", |
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month = may, |
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year = "2024", |
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address = "Torino, Italy", |
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publisher = "ELRA and ICCL", |
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url = "https://aclanthology.org/2024.lrec-main.111", |
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pages = "1233--1238" |
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} |
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``` |
