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...
In this paper we present a novel approach to the incremental incorporation of semantic information in natural language processing which does not fall victim to the notorious probl...
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
We present SHIRI-Annot an automatic ontology-driven and unsupervised approach for the semantic annotation of documents which contain well structured parts and not well structured o...
Abstract. We present a novel, simple, unsupervised method for characterizing the semantic relations that hold between nouns in noun-noun compounds. The main idea is to discover pre...