Corpus-based approaches to word sense identification have flexibility and generality but
suffer from a knowledge acquisition bottleneck. We show how knowledge-based techniques
can be used to open the bottleneck by automatically locating training corpora. We describe a …

The paper reports from the project 'From Parallel Corpus to Wordnet'at the University of
Bergen (2001–2004), which explores a method for deriving wordnet relations such as
synonymy and hyponymy from data extracted from parallel corpora. Assumptions behind the …

We study the performance of two representations of word meaning in learning noun-modifier
semantic relations. One representation is based on lexical resources, in particular WordNet,
the other–on a corpus. We experimented with decision trees, instance-based learning and …

In this paper, a corpus-based thesaurus and WordNet were used to improve text
categorization performance. We employed the k-NN algorithm and the back propagation
neural network (BPNN) algorithms as the classifiers. The k-NN is a simple and famous …

Text similarity plays an important role in natural language processing tasks such as
answering questions and summarizing text. At present, state-of-the-art text similarity
algorithms rely on inefficient word pairings and/or knowledge derived from large corpora …

The growing importance of multilingual information retrieval and machine translation has
made multilingual ontologies an extremely valuable resource. Since the construction of an
ontology from scratch is a very expensive and time consuming undertaking, it is attractive to …

We present here an algorithm for domain specific all-words WSD. The scoring function to
rank the senses is inspired by the quadratic energy expression of Hopfield network, a well
studied expression in neural networks. The scoring function is employed by a greedy …

Abstract Domain information has been regarded as an emerging topic of interest in relation
to WordNet. A lexical resource, WordNet Domains, is presented, where WordNet synsets
have been annotated with domain labels such as Medicine, Architecture and Sport. This …

This paper proposes a method to overcome the drawbacks of WordNet when applied to
information retrieval by complementing it with Roget's thesaurus and corpus-derived
thesauri. Words and relations which are not included in WordNet can be found in the corpus …

Ontologies are widely used in several areas with applications including knowledge
Management, Web commerce and electronic business. An ontology provides a consensus
of concept specifications for a specific domain shared by a group of people. In this paper we …