Matej Martinc

2 accepted papers

2025

SEKE: Specialised Experts for Keyword Extraction

Matej Martinc, Thi Hong Hanh Tran, Senja Pollak, Boshko Koloski

EMNLP 2025

Keyword extraction involves identifying the most descriptive words in a document, allowing automatic categorisation and summarisation of large quantities of diverse textual data. Relying on the insight that real-world keyword detection often requires handling of diverse content, we propose a novel s

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2021

Scalable and Interpretable Semantic Change Detection

Syrielle Montariol, Matej Martinc, Lidia Pivovarova

NAACL 2021long

Several cluster-based methods for semantic change detection with contextual embeddings emerged recently. They allow a fine-grained analysis of word use change by aggregating embeddings into clusters that reflect the different usages of the word. However, these methods are unscalable in terms of memo…

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