no code implementations • LChange (ACL) 2022 • Francesco Periti, Alfio Ferrara, Stefano Montanelli, Martin Ruskov
Contextual word embedding techniques for semantic shift detection are receiving more and more attention.
no code implementations • 25 Jan 2024 • Silvana Castano, Alfio Ferrara, Stefano Montanelli, Francesco Periti
Modern data mining applications require to perform incremental clustering over dynamic datasets by tracing temporal changes over the resulting clusters.
2 code implementations • 4 Apr 2023 • Stefano Montanelli, Francesco Periti
Semantic Shift Detection (SSD) is the task of identifying, interpreting, and assessing the possible change over time in the meanings of a target word.
no code implementations • WS 2017 • Alfio Ferrara, Stefano Montanelli, Georgios Petasis
In this paper we present a new unsupervised approach, {``}Attraction to Topics{''} {--} A2T , for the detection of argumentative units, a sub-task of argument mining.