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Practical and Specialised NLP Solutions: The Case of Social Media

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If you have a question about this talk, please contact Panagiotis Fytas .

Large generative language models (LLMs) are currently ubiquitous in NLP research. However, when it comes to specific applications, these powerful models are often impractical and not always the optimal choice, and there may be more adequate solutions for specific problems.

In this talk, I will advocate for practical and effective solutions in NLP . I will try to revisit the importance of high-quality data (including labelled data) and reliable evaluation benchmarks in the current LLM landscape. Using social media as a case study, I will explain some of the challenges arising from processing content in these platforms. The multilingual, dynamic, informal and multimodal nature of social media, as well as the constant influx of new content, means that standard techniques are seldom optimal, and specialised models are often required.

This talk is part of the Language Technology Lab Seminars series.

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