Very often in good quality translations, a target language expression (word, sentence or text) differs meaning from the corresponding expression in the source language. Fortunately quality translation consists in approximating the meaning of a source document, for the same meaning often cannot be rendered exactly in the target language. This impossibility is called translation mismatch by Kamey...

Fully Automatic Thesaurus Generation (ATG) seeks to generate useful thesauri by mining a corpus of raw text. A number of statistical approaches, based on term co­ occurrence, exist for this, but in general they are only able to estimate the strength of the relationship between two terms, not its nature. In this paper we implement Hearst's method of discovering the hyponymy relations which are t...

We show how random vectors and random projecon can be implemented in the usual vector space model to construct a Euclidean semanc space from a French synonym diconary. We evaluate theorecally the resulng noise and show the experimental distribuon of the similaries of terms in a neighborhood according to the choice of parameters. We also show that the Schmidt orthogonalizaon process is applicabl...

Lexical resources are machine-readable dictionaries or lists of words, where semantic relationships between the terms are somehow expressed. These lexical resources have been used for many tasks such as word sense disambiguation and determining semantic similarity between terms. In recent years some research has been put into automatically building lexical resources from large corpora. In this ...

I learned a lot from this book, which is a collection of chapters by a small group of authors loosely based around the notions of the Semantic Web and ontologies and their importance for scholarly and scientific communication and research. I'm not entirely sure, however, what to make of it. On the one hand, it reads like something that might be useful in a graduate library science seminar on th...

The goal of this paper is to describe how the EuroWordNet framework for representing lexical meaning is being modified within an Italian National Project in order to include information on adjectives. The focus is on the 'new' semantic relations being encoded and on the revisions we have made to the EuroWordNet Top Ontology structure. We also briefly discuss the utility of the information which...

This thesis considers the automatic acquisition of knowledge about discourse connectives. It focuses in particular on their semantic properties, and on the relationships that hold between them. There is a considerable body of theoretical and empirical work on discourse connectives. For example, Knott (1996) motivates a taxonomy of discourse connectives based on relationships between them, such ...

This paper is an introdnction to KASSYS, a system that has been designed to extract information from detining statements in natural language. Only hy-peronymous detinitions are dealt with here, for which systematic processing has been devised and itnl)lenmnted in tlte initial version of the system. The paper describes how KASSYS buiMs a taxinomie hierarchy by extracting the hyperonyms from thes...

This paper argues that antonymy is a syntagmatic as well as a paradigmatic relation, and that antonym pairs constitute a particular type of construction. This position relies on three observations about antonymy in discourse: (1) antonyms tend to co-occur in sentences, (2) they tend to co-occur in particular contrastive constructions, and (3) unlike other paradigmatic relations, antonymy is lex...

People make sense of a text by identifying semantic relations which connect the entities or concepts described by a text (cf. [2]). Therefore, in the search for smarter, more human-like, computer tools, we need to equip such tools with ability to identify and utilize semantic relations in processing the texts. In [4], we have dealt with the problem of mining real-estate listings. In this proble...