away concepts from the surface form of the text. The authors argue that while there has been research into automatic classification, general classification schemes are unsuitable f...
Abstract. This paper presents a series of experiments investigating the effectiveness of query-independent features extracted from retrieved objects to predict relevancy. Features...
In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of "distributionally s...
One of the objectives of the Language Technologies for Life-Long Learning (LTfLL) project, is to develop a knowledge sharing system that connects learners to resources and learner...
Information extraction systems are increasingly being used to mine structured information from unstructured text documents. A commonly used unsupervised technique is to build iter...