Viktor Pekar

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The paper examines different possibilities to take advantage of the taxonomic organization of a thesaurus to improve the accuracy of classifying new words into its classes. The results of the study demonstrate that taxonomic similarity between nearest neighbors, in addition to their distributional similarity to the new word, may be useful evidence on which(More)
Statistical methods to extract translational equivalents from non-parallel corpora hold the promise of ensuring the required coverage and domain customisation of lexicons as well as accelerating their compilation and maintenance. A challenge for these methods are rare, less common words and expressions, which often have low corpus frequencies. However, it(More)
With the appearance of Semantic Web technologies, it becomes possible to develop novel, sophisticated question answering systems, where ontologies are usually used as the core knowledge component. In the EU-funded project, QALL-ME, a domain-specific ontology was developed and applied for question answering in the domain of tourism, along with the assistance(More)
The identification of cognates has attracted the attention of researchers working in the area of Natural Language Processing, but the identification of false friends is still an under-researched area. This paper proposes novel methods for the automatic identification of both cognates and false friends from comparable bilingual corpora. The methods are not(More)
Convergence and simplification are two of the so-called universals in translation studies. The first one postulates that translated texts tend to be more similar than nontranslated texts. The second one postulates that translated texts are simpler, easier-tounderstand than non-translated ones. This paper discusses the results of a project which applies NLP(More)
In automatic summarisation it was noticed that knowledge poor methods do not necessary preform worse than those which employ several knowledge sources to produce a summary. This paper presents a comprehensive comparison between several summarisation methods based on term specificity estimation in order to find out which one performs better. In the(More)
The study addresses the problem of automatic acquisition of entailment relations between verbs. While this task has much in common with paraphrases acquisition which aims to discover semantic equivalence between verbs, the main challenge of entailment acquisition is to capture asymmetric, or directional, relations. Motivated by the intuition that it often(More)