Applications of random ﬁelds in technologies include TV signal processing, image processing in photography such as medical images (human brain imaging, functional magnetic resonance imaging, mammography), computer vision, web data extraction, clustering gene expression time series, natural language processing etc.
Properties of Quick Simulation Random Fields
In Proceedings of the Joint Conference of the North American Chapter of the Association for Computational Linguistics and Human Language Technologies, pages 300–307, 2007.
Modeling Online Reviews with Multi-grain Topic Models
In HLT ’05: Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing, pages 915–922, Morristown, NJ, USA.
MUDOS-NG: Multi-document Summaries Using N-gram Graphs (Tech Report)
Our initial work on the problem was presented at the Human Language Technologies Conference (San Diego, 2001).
Inferring Strategies for Sentence Ordering in Multidocument News Summarization
N-gram co-occurrence statistics. Proceedings of the 2003 conference of the north american chapter of the association for computational linguistics on human language technology (HLT-NAACL 2003), (pp. 71– 78).
Automated Text Summarization Base on Lexicales Chain and graph Using of WordNet and Wikipedia Knowledge Base