Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Annotating learning material with metadata allows easy reusability by different learning/tutoring systems. Several metadata standards have been developed to represent learning obje...
Only very recently have Vietnamese researchers begun to be involved in the domain of Natural Language Processing (NLP). As there does not exist any published work in formal linguis...
sets of research abstracts that may be retrieved by a digital library or search engine in response to a user query. y dissertation abstracts were selected as the sample domain in t...
Shiyan Ou, Christopher S. G. Khoo, Dion Hoe-Lian G...