Mr Dimos Antypas

Myung, J. et al. 2024. BLEND: A benchmark for LLMs on everyday knowledge in diverse cultures and languages. Presented at: 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks, Vancouver, BC, Canada, 9-15 December 2024 Presented at Globerson, A. et al. eds.NeurIPS Proceedings: Advances in Neural Information Processing Systems, Vol. 37. Curran Associates, Inc. pp. 78104-78146.
Antypas, D., Sen, I., Perez Almendros, C., Camacho Collados, J. and Barbieri, F. 2024. Sensitive content classification in social media: A holistic resource and evaluation. [Online]. arXiv. (10.48550/arXiv.2411.19832) Available at: https://doi.org/10.48550/arXiv.2411.19832
Antypas, D., Arnold, C., Camacho Collados, J., Ousidhoum, N. and Perez Almendros, C. 2024. Words as trigger points in social media discussions. [Online]. arXiv. (10.48550/arXiv.2405.10213) Available at: https://doi.org/10.48550/arXiv.2405.10213
Antypas, D., Preece, A. and Camacho Collados, J. 2024. A multi-faceted NLP analysis of misinformation spreaders in Twitter. Presented at: 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, Bangkok, Thailand, 15 August 2024Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Association for Computational Linguistics pp. 71-83.

Antypas, D., Ushio, A., Camacho-Collados, J., Silva, V., Neves, L. and Barbieri, F. 2022. Twitter Topic Classification. Proceedings of the 29th International Conference on Computational Linguistics

Tuxworth, D., Antypas, D., Espinosa-Anke, L., Camacho-Collados, J., Preece, A. and Rogers, D. 2020. Deriving disinformation insights from geolocalized Twitter callouts. Presented at: Workshop On Deriving Insights From User-Generated Text @KDD2021, 14 -18 August 2021.

Owen, D., Antypas, D., Hassoulas, A., Pardinas, A., Espinosa-Anke, L. and Camacho Collados, J. 2023. Enabling early health care intervention by detecting depression in users of web-based forums using Language models: longitudinal analysis and evaluation. JMIR AI 2, article number: e41205. (10.2196/41205)
Antypas, D., Preece, A. and Camacho Collados, J. 2023. Negativity spreads faster: A large-scale multilingual twitter analysis on the role of sentiment in political communication. Online Social Media and Networks 33, article number: 100242. (10.1016/j.osnem.2023.100242)
Antypas, D., Ushio, A., Camacho-Collados, J., Silva, V., Neves, L. and Barbieri, F. 2022. Twitter Topic Classification. Proceedings of the 29th International Conference on Computational Linguistics

Myung, J. et al. 2024. BLEND: A benchmark for LLMs on everyday knowledge in diverse cultures and languages. Presented at: 38th Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks, Vancouver, BC, Canada, 9-15 December 2024 Presented at Globerson, A. et al. eds.NeurIPS Proceedings: Advances in Neural Information Processing Systems, Vol. 37. Curran Associates, Inc. pp. 78104-78146.
Antypas, D., Preece, A. and Camacho Collados, J. 2024. A multi-faceted NLP analysis of misinformation spreaders in Twitter. Presented at: 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, Bangkok, Thailand, 15 August 2024Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis. Association for Computational Linguistics pp. 71-83.
Tuxworth, D., Antypas, D., Espinosa-Anke, L., Camacho-Collados, J., Preece, A. and Rogers, D. 2020. Deriving disinformation insights from geolocalized Twitter callouts. Presented at: Workshop On Deriving Insights From User-Generated Text @KDD2021, 14 -18 August 2021.

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