In this paper, we present a scheme for identifying instances of events and extracting information about them. The scheme can handle all events with which an action can be associat...
Harsha V. Madhyastha, N. Balakrishnan, K. R. Ramak...
We present a novel approach to automatic information extraction from Deep Web Life Science databases using wrapper induction. Traditional wrapper induction techniques focus on lear...
Rule-based information extraction from text is increasingly being used to populate databases and to support structured queries on unstructured text. Specification of suitable info...
Bin Liu 0002, Laura Chiticariu, Vivian Chu, H. V. ...
Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionar...
In this paper we propose a generic model to generate basic multi-partite graphs obtained by associations found in arbitrary data. The interest of such a model is to be the formal ...
Ricardo A. Baeza-Yates, Nieves R. Brisaboa, Josep-...