no code implementations • insights (ACL) 2022 • Ionut Sorodoc, Laura Aina, Gemma Boleda
To successfully account for language, computational models need to take into account both the linguistic context (the content of the utterances) and the extra-linguistic context (for instance, the participants in a dialogue).
no code implementations • 10 Apr 2017 • Ionut Sorodoc, Sandro Pezzelle, Aurélie Herbelot, Mariella Dimiccoli, Raffaella Bernardi
We however argue that precisely identifying the composition of the sets is not only beyond current state-of-the-art models but perhaps even detrimental to a task that is most efficiently performed by refining the approximate numerosity estimator of the system.
no code implementations • EACL 2017 • Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras, Timothy Baldwin
Automatic topic labelling is the task of generating a succinct label that summarises the theme or subject of a topic, with the intention of reducing the cognitive load of end-users when interpreting these topics.
no code implementations • LREC 2014 • Anca Dinu, Liviu Dinu, Ionut Sorodoc
These two aggregation methods are especially well suited for the task, since the results of each individual method naturally forms a ranking of collocations.