The paper emphasizes the inadequacy of formal semantics, the classical paradigm in semantics, in treating contextual dependence. Some phenomena of contextual dependence threaten one central assumption of the classical paradigm, namely the idea that linguistic expressions have a fixed meaning, and utterances have truth conditions well defined. It is possible to individuate three forms of context...

The process of learning a language requires that long-term memory stores the meanings of thousands of words encountered across a variety of situations. These word meanings form a network of associations that, influenced by environmental factors such as word frequency and contextual diversity, cause behavioral effects on measures such as lexical decision and naming times. We investigate the deve...

The spatial contextual cuing paradigm is a visual search task in which participants are required to detect a target stimulus within a subset of distractor stimuli. The location of the target in half of the displays appears against a repeated arrangement of distractors. Participants indirectly express evidence of implicitly learning to use the context of distractors as a cue for the location of ...

In combat simulations target classification and identification are very important. In this research area several studies about simulating identification have been done, most of them take a set of information like “the target is visually identified hostile” to start the simulation with. Mostly classification is not taken into account in identification problems. In this report the input consists ...

We present the work of the Democritus University of Thrace (DUTH) team in TREC’s 2016 Contextual Suggestion Track. The goal of the Contextual Suggestion Track is to build a system capable of proposing venues which a user might be interested to visit, using any available contextual and personal information. First, we enrich the TREC-provided dataset by collecting more information on venues from ...

The goal of this project is to build a Contextual Suggestion system that will recommend the user a ranked list of suggestions depending on user's context as well as her preferences. In this context we present an algorithm based on the regular expression for extracting time and address information from different websites for the places. Then we have suggested a ranking function that can utilize ...

In this paper we present a novel method for deriving paraphrases during automatic MT evaluation using only the source and reference texts, which are necessary for the evaluation, and word and phrase alignment software. Using target language paraphrases produced through word and phrase alignment a number of alternative reference sentences are constructed automatically for each candidate translat...

The concept of the barbarian has been an enduring presence in the antiquarian and archaeological study of European societies. Indeed the idea of the barbarian as an adjective and concept continues to influence both scholarly and popular perceptions of Prehistory, the Ancient World and Early Medieval societies. Moving beyond studies of the shifting attitudes to the barbarian within successive an...

Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase is to minimize, either explicitly or implicitly, the (expected) error between the predicted ratings and the true user ratings, while in the evaluation phase, the resulting model is again assessed by that error. In th...

Contextual Inquiry is a method developed by Beyer and Holtzblatt for grounding design in the context of the work being performed. In this paper, we adapted the method successfully for analyzing pre-existing videotaped presentations. Our goal was to find improvements for a slide presentation program currently in development, called 'SlideShow Commander.' Contextual Inquiry provided us with meani...