In this paper, we describe KES, a system that integrates text categorisation and information extraction in order to extract key elements of information from particular types of documents, with these informational elements being presented in such a way as to provide a concise summary of the input document. We describe the overall architecture of the system and its components, with a particular focus on the problems involved in handling the names of companies and individuals in this domain.
|Number of pages||12|
|Journal||Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)|
|Publication status||Published - 2004|