Since 2011, the distribution extent of pelagic Sargassum algae has substantially increased and now covers whole Tropical North Atlantic Ocean, with significant inter-annual variability. The ocean colour imagery been used as only way to monitor regularly such a vast area. However, detection is hampered by cloud masking, sunglint, coastal contamination other phenomena. All together, they lead fal...

Existing research in scene image classification has focused on either content features (e.g., visual information) or context annotations). As they capture different information about images which can be complementary and useful to discriminate of classes, we suppose the fusion them will improve results. In this paper, propose new techniques compute features, then fuse together. For design multi...

Hedging academic claims has been recognized as one of integral pragmatic features of academic writing in which most EFL academic writers seem to face substantial problems. Explicit instruction has been proposed by some scholars as an effective approach to make EFL writers aware of the importance, different forms, and pragmatic functions of hedging devices some of which are polysemous and polypr...

The paper describes a set of experiments aimed at identifying and evaluating context features and machine learning methods to identify medical semantic relations in texts. We use manually constructed lists of pairs of MeSH-classes that represent specific relations, and a linguistically and semantically annotated corpus of medical abstracts to explore the contextual features of relations. Using ...

In this paper we present an approach to tuning of context features acquired from corpora. The approach is based on the idea of a genetic algorithm (GA). We analyse a whole population of contexts surrounding related linguistic entities in order to find a generic property characteristic of such contexts. Our goal is to tune the context properties so as not to lose any correct feature values, but ...