Natural language of uncertainty: numeric hedge words

Influential Words: Natural Language in Interactive Storytelling

In this paper, we introduce the use of Natural Language as a paradigm for influence of plans that are used to drive the behaviour of characters in Interactive Storytelling. We briefly introduce our character-centered approach to Interactive Story system is briefly introduced, and the knowledge representation of stories. Using an example based upon a fully implement first prototype, we discuss h...

Uncertainty Detection for Natural Language Watermarking

In this paper we investigate the application of uncertainty detection to text watermarking, a problem where the aim is to produce individually identifiable copies of a source text via small manipulations to the text (e.g. synonym substitutions). As previous attempts showed, accurate paraphrasing is challenging in an open vocabulary setting, so we propose the use of the closed word class of unce...

Uncertainty Detection in Natural Language Texts

Regular Hedge Language Factorization Revisited

We consider the factorization problem of regular hedge languages. This problem is strongly related to the type checking problem in rule based transformations of valid XML documents. We propose the representation of regular hedge languages by reduced, complete, and deterministic linear hedge automata, and indicate algorithms for the computation of right factors and factor matrix.

Learning Visually Grounded Words and Syntax of Natural Spoken Language

Properties of the physical world have shaped human evolutionary design and given rise to physically grounded mental representations. These grounded representations provide the foundation for higher level cognitive processes including language. Most natural language processing machines to date lack grounding. This paper advocates the creation of physically grounded language learning machines as ...