We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
Ordering information is a critical task for natural language generation applications. In this paper we propose an approach to information ordering that is particularly suited for ...
This paper describes how to make use of e-books that look like printed books in a knowledge network. After an overview of digitalization efforts and current digital library initia...
In this paper we propose a new strategy for combining the outputs of several alignment systems. Based on the word boundaries retrieved from a number of individual alignment system...
As claimed in the Semantic Web project, a huge amount of physically distributed interacting software agents could find the semantic of available resources and answer more relevantl...