Abstract. In this paper we introduce a system that automatically summarizes multiple biomedical documents relevant to a question. The system extracts biomedical and general concept...
Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, ...
This work deals with determination of meaningful and terse cluster labels for News document clusters. We analyze a number of alternatives for selecting headlines and/or sentences o...
The widespread use of XML brings new challenges for its integration into general software development processes. In particular, it is necessary to keep the consistency between diļ¬...
Current approaches to script identification rely on hand-selected features and often require processing a significant part of the document to achieve reliable identification. We p...
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...