Abstract The present study explores the realizing mechanisms of deliberate misinterpretation, by examining specific situations misinterpretation in fictional conversation, from perspective socio-cognitive pragmatics, so as to shed light on human daily conversations. results analyzing dialogs sitcom Friends show that has do with possibility ambiguity speaker’s side and divergence hearer’s side. ...

In this paper, we describe a method for implementing AI-based animation of artificial actors in the context of interactive storytelling. We have developed a fully implemented prototype based on the UnrealTM game engine and carried experiments with a simple sitcom-like scenario. We discuss the central role of artificial actors in interactive storytelling and how real-time generation of their beh...

Acronyms, songs, advertisements, movies, television series, comic strips, memes or even sports news: Traces of Christian symbols, sayings, references can be found in numerous places and contexts. But most children adolescents exposed to religious education German schools, only know these contemporary without being aware their origins. So one the challenging tasks is enabling learners decode tho...

In this paper, we describe a method for implementing intelligent behaviour for artificial actors in the context of interactive storytelling. We have developed a fully implemented prototype based on the UnrealTM game engine and carried experiments with a simple sitcom-like scenario. We discuss the central role of artificial actors in interactive storytelling and how real-time generation of their...

Language is a powerful communication tool. A skilful person uses words and manipulates them for different purposes; be that persuading clients in buying products or joining congregation; soothing aggravated patients consoling people who lost their loved ones. used teaching, informing, entertaining making laugh. Many public speakers, teachers, politicians leaders use humour breaking the ice enga...

We propose a first-ever attempt to employ a Long Short-Term memory based framework to predict humor in dialogues. We analyze data from a popular TV-sitcom, whose canned laughters give an indication of when the audience would react. We model the setuppunchline relation of conversational humor with a Long Short-Term Memory, with utterance encodings obtained from a Convolutional Neural Network. Ou...