Visual Development & analysis of coreference resolution systems with CORVIDAE

Abstract

Communication whether in verbal or written form is part of our daily life. Hence, we as humans have developed a set of skills that enable us to follow a discourse and extract important information from a text quite easily. For a machine however, language understanding is a quite challenging problem and considered to be AI-complete, i.e. a machine must reach human level intelligence in order to solve this task. Recent developments, especially those forming the semantic web, offer new ways of incorporating world knowledge into natural language processing methods. In this paper, we present our latest advancements on CORVIDAE (Coreference Resolution Visual Development & Analysis Environment), a tool for NLP developers to analyse and eventually improve coreference resolution algorithms specially designed for those that interact with world knowledge.