Multi-document summarization aims to create a compressed summary while retaining the main characteristics of the original set of documents. Many approaches use statistics and mach...
Dingding Wang, Tao Li, Shenghuo Zhu, Chris H. Q. D...
To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to suppo...
Peter Weinstein, H. Van Dyke Parunak, Paul Chiusan...
In this paper, we present a general architecture and a new retrieval method for an educational system that is based on a knowledge base of existing recorded lectures. The extracti...
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections b...
Haipeng Zhang, Mohammed Korayem, Erkang You, David...
Abstract. In this paper we attempt to characterize resources of information complementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic...
Jan Nemrava, Paul Buitelaar, Thierry Declerck, Voj...