Tathagata Raha, Clement Christophe, Nada Saadi, Hamza A Javed, Marco AF Pimentel, Ronnie Rajan, Praveenkumar Kanithi. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Svetlana Maslenkova, Clement Christophe, Marco AF Pimentel, Tathagata Raha, Muhammad Umar Salman, Ahmed Al Mahrooqi, Avani Gupta, Shadab Khan, Ronnie Rajan, Praveenkumar Kanithi. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.

Slow emerging topic detection is a task between event detection, where we aggregate behaviors of different words on short period of time, and language evolution, where we monitor their long term evolution.In this work, we tackle the problem of early detection of slowly emerging new topics.To this end, we gather evidence of weak signals at the word level.We propose to monitor the behavior of words representation in an embedding space and use one of its geometrical properties to characterize the emergence of topics.As evaluation is typically hard for this kind of task, we present a framework for quantitative evaluation.We show positive results that outperform state-ofthe-art methods on two public datasets of press and scientific articles.