In this paper we propose an automatic term extraction approach that uses machine learning
incorporating varied and rich features of candidate terms. In our preliminary experiments, we …

Background Term extraction is highly relevant as it is the basis for several tasks, such as the
building of dictionaries, taxonomies, and ontologies, as well as the translation and …

Despite the importance of the term extraction methods and that several efforts have been
devoted to improve them, they still have 4 main problems:(i) noise and silence generation;(ii) …

Term extraction is the basis for many tasks such as building of taxonomies, ontologies and
dictionaries, for translation, organization and retrieval of textual data. This paper studies the …

Terms are the basis for general text mining and natural language processing applications.
However, the manual term extraction is unfeasible due to the huge number of words …

The construction of terminological products is important to the organization and spreading of
knowledge. This task can be leveraged by the automatic extraction of terms, which has been …

Para o desenvolvimento de vários sistemas computacionais que processam língua natural
(p. ex., sistemas de sumarização, sistemas de tradução automática etc.), os pesquisadores …

The construction of terminological products is important to the organization and spreading of
knowledge. This task can be leveraged by the automatic extraction of terms, which has been …

En la actualidad existe un gran volumen de textos en formato digital debido a los avances
científico técnicos que tienen lugar en disímiles esferas y ramas de la ciencia, lo que …

The development of an ontology is a long and laborious process that involves many hours of
manual labor. The effort applied in this process can be alleviated if automated tools are …