Controlled Natural Language meets the SemanticWeb

Using the Social SemanticWeb to Support eSocial Science

In this paper we discuss how aspects of the Social Semantic Web can be used in an eScience context to deliver tools to researchers in the social sciences. We explain how user requirements led us to develop a hybrid solution involving use of ontologies and folksonomies in order to document the provenance of research resources, and to situate these within their wider (social) context. A natural l...

Invited Paper: When FrameNet meets a Controlled Natural Language

There are two approaches to the natural language processing – one is going in width to cover at shallow level (parsing, syntax) the rich linguistic variety found in the natural language, while another is going in depth (semantics, discourse structure) for a monosemous subset of natural language referred to as a controlled natural language (CNL). Today we are nowhere near to bridging the gap bet...

AISC Meets Natural Typography

McDermott [12,13] introduced the concept “Artificial Intelligence meets Natural Stupidity”. In this paper, we explore how Artificial Intelligence and Symbolic Computation can meet Natural Typography, and how the conventions for expressing mathematics that humans understand can cause us difficulties when designing mechanised systems.

Episodi Logi Meets Little Red Riding Hood : A Comprehensive, Natural Representation for Language Understanding

Statistical Language Models and Information Retrieval: natural language processing really meets retrieval

Traditionally, natural language processing techniques for information retrieval have always been studied outside the framework of formal models of information retrieval. In this article, we introduce a new formal model of information retrieval based on the application of statistical language models. Simple natural language processing techniques that are often used for information retrieval – we...