We discuss an aspect of an affect-detection system used in edrama by intelligent conversational agents, namely affective interpretation of limited sorts of metaphorical utterance. We discuss how these metaphorical utterances are recognized and how they are analysed and their affective content determined.

although investigating the factors that influence test scores is important, a majority of stakeholders show a paucity of attention towards individual learner differences due to having large classes of l2 learners. this study sought to explore the possible effect of working memory and cognitive style on l2 learners’ metaphorical test performance. the study was conducted in 2 phases. the first ph...

This chapter looks at how a hearer or reader can understand metaphorical discourse, particularly when it is creative. The abilities of the ATT-Meta approach to creative metaphor understanding, implemented in an AI reasoning system, are discussed. A natural extension to metaphor generation is also briefly mentioned. As regards types of creativity, the chapter focusses on how ATT-Meta deals with ...

In preparation for building a dictionary browser, an actual navigational interface (a digital chart plotter) was analyzed for design guidelines to be applied to an interactive semantic navigator. WordNet is a lexical database structured as an inheritance system encoding numerous semantic relationships. The guidelines are applied to the design of a browser for WordNet.

On the “standard” view of conceptual metaphors (Lakoff and Johnson, 1980; Kövecses, 2002), metaphorical creativity arises from cognitive processes extending, elaboration, questioning, combining content in source domain Turner, 1989). I will propose that such cases constitute only a part creativity. An equally important common set is comprised by what call “context-induced” metaphors. discuss fi...

We present a supervised machine learning system for word-level classification of all content words in a running text as being metaphorical or non-metaphorical. The system provides a substantial improvement upon a previously published baseline, using re-weighting of the training examples and using features derived from a concreteness database. We observe that while the first manipulation was ver...