—In this paper, we propose knowledge-chunk based techniques for instance matching and mapping discovery of Semantic Web resources. Knowledge chunks provide a synthetic representa...
Distributional word similarity is most commonly perceived as a symmetric relation. Yet, one of its major applications is lexical expansion, which is generally asymmetric. This pap...
Mapping and classification of chemical compound names are important aspects of the tasks of BioNLP. This paper introduces the architecture of a system for the syntactic and semant...
In this research we aim to detect subjective sentences in multimodal conversations. We introduce a novel technique wherein subjective patterns are learned from both labeled and un...
This poster describes a framework that automatically generates learning support scaffolds to guide task-based learning. The aim is to combine the exploratory learning principles p...