Rhio Sutoyo

FactRunner: A New System for NLP-Based Information Extraction from Wikipedia

Wikipedia is playing an increasing role as a source of human-readable knowledge, because it contains an enormous amount of high quality information written by human authors. Finding a relevant piece of information in this huge collection of natural language text is often a time-consuming process, as a keyword-based search interface is the main method for querying. Therefore, an iterative process to explore the document collection to find the information of interest is required. In this paper, we present an approach to extract structured information from unstructured documents to enable structured queries. Information Extraction (IE) systems have been proposed for this tasks, but due to the complexity of natural language, they often produce unsatisfying results.