Clustering abstracts of scientific texts of very narrow domain implies a big challenge. The first problem to attend is the high overlapping among the document’s vocabularies, besides the low frequency of these terms. The transition point technique has been successfully used in this area of Natural Language Processing (NLP). Its best properties rely on the extraction of the mid-frequency terms. ...

s Topic Maps and Dublin Core Expressing Dublin Core in Topic Maps – Steve Pepper The Dublin Core Metadata Initiative is an open organization engaged in the development of interoperable online metadata standards that support a broad range of purposes and business models. Its most important standard is the Dublin Core Metadata Element Set. This and other vocabularies developed by Dublin Core are ...

Two main features of vocabulary knowledge, namely breadth and depth, have a fundamental role in vocabulary research. This research aimed to study the relationship between vocabulary knowledge and reading comprehension, and to investigate which feature of vocabulary knowledge, breadth or depth, had better impact on identifying reading comprehension performance. Therefore, three language tests we...

this study has examined the effect of semantic mapping on learning vocabulary across genders. the researchers selected 120 intermediate students after the administration of a standard proficiency test. a vocabulary test was also used to measure the students’ vocabulary knowledge. the experimental group received semantic mapping in the pre-reading stage, butthe control group did not receive this...

Accounts of abstract word learning suggest that learning these words relies primarily on access to linguistic cues, such as the statistical co-occurrence of words with similar semantic properties. Thus, children with language impairment (LI), who by definition have impoverished access to linguistic context, should have disproportionate impairments in abstract word knowledge. Here, we compared v...