In this paper we present a pattern-based approach to the automatic extraction of definitional knowledge from specialised Spanish texts. Our methodology is based on the search of definitional verbal patterns to extract ...

This paper presents a novel efficiencybased evaluation of sentence and word aligners. This assessment is critical in order to make a reliable use in industrial scenarios. The evaluation shows that the resources/nrequired ...

Recent research has shown that when preschoolers listen to a speaker who is simultaneously making beat gestures, this favors their recall and comprehension of what they have heard and also boosts their narrative performance. ...

Adjectival modification, particularly by expressions that have been treated as higher-order modifiers in the formal semantics tradition, raises interesting challenges for semantic composition in distributional semantic ...

We address the task of visual semantic role labeling (vSRL), the identification of the participants of a situation or event in a visual scene, and their labeling with their semantic relations to the event or situation. We ...

We propose a strategy to reduce the impact of the sparse data problem in the tasks of lexical information acquisition based on the observation of linguistic cues. It justifies that the uncertainty created by missing values, ...

Distributional semantics models are known to struggle with small data. It is generally accepted that in order to learn ‘a good vector’ for a word, a model must have sufficient examples of its usage. This contradicts the ...