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Challenges in including extra-linguistic context in pre-trained language models
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).
Pay Attention to Those Sets! Learning Quantification from Images
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.
Multimodal Topic Labelling
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.
Aggregation methods for efficient collocation detection
These two aggregation methods are especially well suited for the task, since the results of each individual method naturally forms a ranking of collocations.
