In this paper, we describe our multilingual (or cross-linguistic) information browsing and retrieval system, which is aimed at monolingual users who are interested in information ...
Chinatsu Aone, Nicholas Charocopos, James Gorlinsk...
Today’s web is so huge and diverse that it arguably reflects the real world. For this reason, searching the web is a promising approach to find things in the real world. This ...
In this paper we describe an improved version of ANERsys, an Arabic Named Entity Recognition system for open-domain texts. The first version of ANERsys was totally based on the Ma...
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...
In TREC 2004, the Database and Information System Lab (DBIS) at University of Illinois at Chicago (UIC) participates in the robust track, which is a traditional ad hoc retrieval t...