The availability of large, heterogeneous repositories of electronic documents is increasing rapidly, and the need for flexible, sophisticated document manipulation tools is growi...
Floriana Esposito, Stefano Ferilli, Teresa Maria A...
In this paper we study the problem of finding most topical named entities among all entities in a document, which we refer to as focused named entity recognition. We show that th...
This paper presents a supervised machine learning approach for summarizing legal documents. A commercial system for the analysis and summarization of legal documents provided us wi...
We have developed a well performing algorithm for locating address blocks in postal parcel images. Both machine printed and handwritten addresses are processed by the algorithm. T...