Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
We report on summer student programmes and activities we have run, or contributed towards, for undergraduate students at Universities in the UK; in the USA; in Australia and in Ne...
Kenneth A. Hawick, Heath A. James, Christie James,...
The Semantic Web requires automatic ontology population methods. We developed an approach, that given existing ontologies, extracts instances of ontology relations, a specific subt...
Viktor de Boer, Maarten van Someren, Bob J. Wielin...
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...