The paper presents a wordnet expansion algorithm, which is based on lexicosemantic relations extracted from large text corpora. We do not assume that the extracted relation instances (i.e. word pairs) are described by probabilities. Thus, results produced by any method, including pattern-based and Distributional Semantics approaches can be used. The algorithm is based on a general spreading act...

Wordnets are lexico-semantic resources essential in many NLP tasks. Princeton WordNet is the most widely known, and the most influential, among them. Wordnets for languages other than English tend to adopt unquestioningly WordNet’s structure and its net of lexicalised concepts. We discuss a large wordnet constructed independently of WordNet, upon a model with a small yet significant difference....

The paper presents an overview of an attempt at the semantic classification of adjectives in the Bulgarian Wordnet based on the information that is already available in WordNet, and other classifications proposed in the literature (classifications in the linguistic literature for Bulgarian and approaches implemented by other wordnets, more precisely, the Wordnet for German). The proposed approa...

In this paper we propose a new graph-based approach to solve semantic ambiguity using a semantic net based on WordNet. Our proposal uses an adaptation of the Clique Partitioning Technique to extract sets of strongly related senses. For that, an initial graph is obtained from senses of WordNet combined with the information of several semantic categories from different resources: WordNet Domains,...

The lack of large, semantically annotated corpora is one of the main drawbacks of Word Sense Disambiguation systems. Unsupervised systems do not need such corpora and rely on the information of the WordNet ontology. In order to improve their performance, the use of other lexical resources need to be investigated. This paper describes the effort to integrate the Conceptual Density approach with ...

This paper deals with the ontology for natural language understanding. In particular, the paper focuses on the WordNet noun ontology, proposes some additions, changes and reorganizations, and explains the rationale supporting them. These changes have been pointed out by a semantic interpreter driven by over 3000 verb predicates that use WordNet noun ontology and WordNet verb classes. The select...

Semantic interpretation of language requires extensive and rich lexical knowledge bases (LKB). The Basque WordNet is a LKB based on WordNet and its multilingual counterparts EuroWordNet and the Multilingual Central Repository. This paper reviews the theoretical and practical aspects of the Basque WordNet lexical knowledge base, as well as the steps and methodology followed in its construction. ...

WordNet is a semantic lexicon for the English language and many countries have been developing their own WordNet. Almost, all of the WordNets are manually built and unfortunately these WordNets are not verified and are being used in many knowledge-based applications. In this paper we aimed at the clustering based verification of a manually built lexical taxonomy WordNet, namely the Korean WordN...