Abstract A rich family of generic Information Extraction (IE) techniques have been developed by researchers nowadays. This paper proposes WebKER, a system for automatically extract...
This paper addresses the problem of merging uncertain information in the framework of possibilistic logic. It presents several syntactic combination rules to merge possibilistic k...
We present a principled approach to the problem of connecting a controlled document authoring system with a knowledge base. We start by describingclosed-world authoring situations...
One of the grand challenges of AI is to build systems that learn by reading. The ideal system would construct a rich knowledge base capable of automated reasoning. We have built a...
This paper describes and evaluates MOP, an IE system for automatic extraction of metalinguistic information from technical and scientific documents. We claim that such a system ca...