This paper presents a new method of developing a large-scale hyponymy relation database by combining Wikipedia and other Web documents. We attach new words to the hyponymy database extracted from Wikipedia by using distributional similarity calculated from documents on the Web. For a given target word, our algorithm first finds k similar words from the Wikipedia database. Then, the hypernyms of...

Measuring information content (IC) from the intrinsic information of an ontology is an important however a formidable task. IC is useful for further measurement of the semantic similarity. Although the state-of-art metrics measure IC, they deal with external knowledge base or intrinsic hyponymy relations only. A current complex form of ontology conceptualizes a class (also often called as a con...

We present a novel algorithm for the acquisition of multilingual lexical taxonomies (including hyponymy/hypernymy, meronymy and taxonomic cousinhood), from monolingual corpora with minimal supervision in the form of seed exemplars using discriminative learning across the major WordNet semantic relationships. This capability is also extended robustly and effectively to a second language (Hindi) ...

The paper presents an approach to automatic text understanding inspired by speech act theory and cognitive semantics, especially by the notion of ‘mental spaces’ (Fauconnier 1985), and by Pustejovsky’s (1991a, 1991b, 1995) notion of ‘qualia’ and his definition of formal and telic hyponymy. This approach is employed in an experimental system for understanding of news reports and multilingual gen...

A novel method is presented for annotating satellite images. The labels used for annotation are given by a user with a set of example images. A learning step is then applied to learn the model. The originality of the method is to formulate the problem of semantic annotation to a further extent than a mere probabilistic classification task. The method takes into account the semantical relationsh...

In this paper we propose a method to exploit analytical definitions extracted from Spanish corpora, in order to build a lexical network based on the hyponymy/hyperonymy, part/whole and attribution relations. Our method considers the following steps: (a) the recognition and extraction of definitional contexts from specialized documents, (b) the identification of analytical definitions on these d...

We present LEAR (Lexical Entailment Attract-Repel), a novel post-processing method that transforms any input word vector space to emphasise the asymmetric relation of lexical entailment (LE), also known as the IS-A or hyponymy-hypernymy relation. By injecting external linguistic constraints (e.g., WordNet links) into the initial vector space, the LE specialisation procedure brings true hyponymy...

Due to the deficits of schizophrenic patients regarding the understanding of vague meanings (D. Ketteler and S. Ketteler (2010)) we develop a special test battery called HOLF (high order linguistic function test), which should be able to detect subtle linguistic performance deficits in schizophrenic patients. HOLF was presented to 40 schizophrenic patients and controls, focussing on linguistic ...