The adequate representation of emotions in affective computing is an important problem and the starting point of studies related to emotions. There are different approaches for representing emotions,… (More)
In the last few years negation detection systems for biomedical texts have been developed successfully. In this paper we present a system that finds and annotates the scope of negation in English… (More)
Emotions are inherent to any human activity, including human– computer interactions, and that is the reason why recognizing emotions expressed in natural language is becoming a key feature for the… (More)
This paper presents an approach to automated marking up of texts with emotional labels. The approach considers the representation of emotions as emotional dimensions. A corpus of example texts… (More)
Music can be used both to direct and enhance the impact a story can have on its listeners. This work makes use of two creative systems to provide emotionally-targeted musical accompaniment for… (More)
UCM-2 infers the words that are affected by negations by browsing dependency syntactic structures. It first makes use of an algorithm that detects negation cues, like no, not or nothing, and the… (More)
In the last years, dependency parsing has been accomplished by machine learning–based systems showing great accuracy but usually under 90% for Labelled Attachment Score (LAS). Maltparser is one of… (More)