The importance of inference rules to semantic applications has long been recognized and extensive work has been carried out to automatically acquire inference-rule resources. Howe...
Unknown lexical items present a major obstacle to the development of broadcoverage semantic role labeling systems. We address this problem with a semisupervised learning approach ...
The construction of a wordnet, a labour-intensive enterprise, can be significantly assisted by automatic grouping of lexical material and discovery of lexical semantic relations. ...
Bartosz Broda, Magdalena Derwojedowa, Maciej Piase...
Exponentially growing photo collections motivate the needs for automatic image annotation for effective manipulations (e.g., search, browsing). Most of the prior works rely on sup...
Nowadays, capturing the knowledge in ontological structures is one of the primary focuses of the semantic web research. To exploit the knowledge from the vast quantity of existing ...
Michal Laclavik, Marek Ciglan, Martin Seleng, Ladi...