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2025 | OriginalPaper | Chapter

Prompting and Learning to Detect Major Life Events from Tweets

Authors : Anca Marginean, Emanuel Barcău

Published in: World Conference of AI-Powered Innovation and Inventive Design

Publisher: Springer Nature Switzerland

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Abstract

Recently, LLMs pervaded the world of text understanding. Their ability to generate text based on instructions comes with the price of having an extremely large number of parameters and, consequently extremely large hardware demands or inference times. We consider that certain classification tasks, such as the detection of fixed lists of events from text can be achieved with acceptable performance even with smaller language models. The longstanding issue of collecting and annotating text is significantly eased by the presence of LLMs. Therefore, we employ a prompting technique to create a synthetic dataset of tweets annotated with events from the speaker’s life and train a small language model on it.

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Title: Prompting and Learning to Detect Major Life Events from Tweets
Authors: Anca Marginean
Emanuel Barcău
Publisher: Springer Nature Switzerland
Book: World Conference of AI-Powered Innovation and Inventive Design
Print ISBN: 978-3-031-75922-2

Electronic ISBN: 978-3-031-75923-9

Copyright Year: 2025
DOI: https://doi.org/10.1007/978-3-031-75923-9_24

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