no code implementations • ACL (LChange) 2021 • Pierpaolo Basile, Annalina Caputo, Tommaso Caselli, Pierluigi Cassotti, Rossella Varvara
The use of automatic methods for the study of lexical semantic change (LSC) has led to the creation of evaluation benchmarks.
no code implementations • 10 May 2021 • Esraa Ali, Annalina Caputo, Séamus Lawless, Owen Conlan
The first step assigns a relevance score to each individual leaf-node t-facet.
no code implementations • 28 Jun 2020 • Anirban Chakraborty, Debasis Ganguly, Annalina Caputo, Gareth J. F. Jones
An automated contextual suggestion algorithm is likely to recommend contextually appropriate and personalized 'points-of-interest' (POIs) to a user, if it can extract information from the user's preference history (exploitation) and effectively blend it with the user's current contextual information (exploration) to predict a POI's 'appropriateness' in the current context.
no code implementations • SEMEVAL 2020 • Pierluigi Cassotti, Annalina Caputo, Marco Polignano, Pierpaolo Basile
This paper describes the system proposed for the SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection.
no code implementations • RANLP 2019 • Pierpaolo Basile, Annalina Caputo, Seamus Lawless, Giovanni Semeraro
In the last few years, the increasing availability of large corpora spanning several time periods has opened new opportunities for the diachronic analysis of language.