Computation of similarity between categorical data objects in unsupervised learning is an
important data mining problem. We propose a method to compute distance between two …

In order to efficiently develop large-scale and complicated software, it is important for system
engineers to correctly understand users' requirements. Most requirements in large-scale …

In this paper we present an active learning approach used to create an annotated corpus of
literal and nonliteral usages of verbs. The model uses nearly unsupervised word-sense …

The realization of the envisioned Semantic Web is conditioned by a real operationalized
sharing and reuse of formally represented knowledge models, so-called ontologies …

In this article, we hypothesize that some of the structural properties of paradigmatic graphs of
the hierarchical small world type are to be found in all natural languages. Within this …

The concept of semantic similarity is an important element in many applications such as
information extraction, information retrieval, document clustering and ontology learning …

A comunicação multilíngue é uma tarefa cada vez mais imperativa no cenário atual de
grande disseminação de informações em diversas línguas. Nesse contexto, são de grande …

Приведен метод обучения модели извлечения знаний из естественно-языковых
текстов. Возможность обучения обеспечивается простотой правил извлечения и …

Previous partially supervised classification methods can partition unlabeled data into
positive examples and negative examples for a given class by learning from positive labeled …