However, the number of datasets and models that specifically address the dynamic nature of these social platforms is scarce. This is especially true in social media, since its dynamic nature leads to faster semantic shifts, making it challenging for NLP models to deal with new content and trends. %X Language evolves over time, and word meaning changes accordingly. %I International Committee on Computational Linguistics %S Proceedings of the 29th International Conference on Computational Linguistics %T TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media Our results show that TempoWiC is a challenging benchmark, even for recently-released language models specialized in social media. To bridge this gap, we present TempoWiC, a new benchmark especially aimed at accelerating research in social media-based meaning shift. Language evolves over time, and word meaning changes accordingly. International Committee on Computational Linguistics Proceedings of the 29th International Conference on Computational Linguistics TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media Our results show that TempoWiC is a challenging benchmark, even for recently-released language models specialized in social media.", Publisher = "International Committee on Computational Linguistics",Ībstract = "Language evolves over time, and word meaning changes accordingly. Cite (Informal): TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media (Loureiro et al., COLING 2022) Copy Citation: BibTeX Markdown MODS XML Endnote More options… PDF: Code cardiffnlp/tempowic Data = ": An Evaluation Benchmark for Detecting Meaning Shift in Social Media",īooktitle = "Proceedings of the 29th International Conference on Computational Linguistics", International Committee on Computational Linguistics. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3353–3359, Gyeongju, Republic of Korea. TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. White, Gabriel Wong, Luis Espinosa-Anke, Leonardo Neves, Francesco Barbieri, and Jose Camacho-Collados. Seung-Hoon Na Venue: COLING SIG: Publisher: International Committee on Computational Linguistics Note: Pages: 3353–3359 Language: URL: DOI: Bibkey: loureiro-etal-2022-tempowic Cite (ACL): Daniel Loureiro, Aminette D’Souza, Areej Nasser Muhajab, Isabella A. Anthology ID: ling-1.296 Volume: Proceedings of the 29th International Conference on Computational Linguistics Month: October Year: 2022 Address: Gyeongju, Republic of Korea Editors: Nicoletta Calzolari, Abstract Language evolves over time, and word meaning changes accordingly.
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