Few attempts have been made to investigate the utility of temporal reasoning within machine learning frameworks for temporal relation classification between events in news articl...
Purpose Neural document clustering techniques, e.g., self-organising map (SOM) or growing neural gas (GNG), usually assume that textual information is stationary on the quantity. ...
We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity...
Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, ...
Strategic intelligence involves the efforts to understand the "Big Picture" emerging from data sources. Concerning textual data, this process involves the extraction of m...
Yair Neuman, Liran Elihay, Meni Adler, Yoav Goldbe...
We describe a meta-querying system for databases containing queries in addition to ordinary data. In the context of such databases, a meta-query is a query about queries. Represen...
Jan Van den Bussche, Stijn Vansummeren, Gottfried ...