mlsanityData to 14 Oct 2026

SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis

arXiv 2210.01108 ↗First posted 3 Oct 2022cs.CL cs.CY cs.LGcited by 14

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Abstract (arXiv)

We propose MINT, a new Multilingual INTimacy analysis dataset covering 13,372 tweets in 10 languages including English, French, Spanish, Italian, Portuguese, Korean, Dutch, Chinese, Hindi, and Arabic. We benchmarked a list of popular multilingual pre-trained language models. The dataset is released along with the SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis (https://sites.google.com/umich.edu/semeval-2023-tweet-intimacy).

Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Builds on 9 of its 51 references that are in the map. First posted on arXiv 3 Oct 2022.

Builds on

9 of 51 references.

References · 9

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  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
  4. 2020Don't Stop Pretraining: Adapt Language Models to Domains and Taskscited by 1,565
  5. 2020MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformerscited by 1,463
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  9. 2020Quantifying Intimacy in Languagecited by 25

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 7; 2024: 0; 2025: 4; 2026: 2.

14 papers.

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  1. 2022POTATO: The Portable Text Annotation Toolcited by 64
  2. 2025Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptionscited by 33
  3. 2023SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Researchcited by 9
  4. 2023UZH_CLyp at SemEval-2023 Task 9: Head-First Fine-Tuning and ChatGPT Data Generation for Cross-Lingual Learning in Tweet Intimacy Predictioncited by 8
  5. 2025Towards Style Alignment in Cross-Cultural Translationcited by 4
  6. 2025FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluationcited by 3
  7. 2025Targeted Distillation for Sentiment Analysiscited by 1
  8. 2023HULAT at SemEval-2023 Task 9: Data augmentation for pre-trained transformers applied to Multilingual Tweet Intimacy Analysiscited by 0
  9. 2023WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Taskscited by 0
  10. 2023tmn at SemEval-2023 Task 9: Multilingual Tweet Intimacy Detection using XLM-T, Google Translate, and Ensemble Learningcited by 0
  11. 2023OPI at SemEval 2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy Analysiscited by 0
  12. 2023Text Intimacy Analysis using Ensembles of Multilingual Transformerscited by 0
2 more
  1. 2026LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurtscited by 0
  2. 2026FineWeb-CLaR: Culture, Language, and Region Annotations for Benchmark-Aligned Corpus Auditingcited by 0