The need for personalized summaries of media content has been driven by the recent and anticipated explosive growth in the media world. In this paper we present a methodology and ...
Lalitha Agnihotri, John R. Kender, Nevenka Dimitro...
This paper presents a character segmentation algorithm for unconstrained cursive handwritten text. The transformation-based learning method and a simplified variation of it are us...
Information-extraction (IE) research typically focuses on clean-text inputs. However, an IE engine serving real applications yields many false alarms due to less-well-formed input...
Radu Florian, John F. Pitrelli, Salim Roukos, Imed...
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...
Clinical texts contain a large amount of information. Some of this information is embedded in contexts where e.g. a patient status is reasoned about, which may lead to a considera...