Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
In the research area of automatic web information extraction, there is a need for permanent and annotated web page collections enabling objective performance evaluation of differen...
1 This paper defines a new stacked generalization framework in the context of information extraction (IE) from online sources. The proposed setting removes the constraint of apply...
This paper proposes a new method based on self-calibration to estimate the ball's 3D position in broadcast soccer video. According to the physical limitation, the ball's ...
This paper examines how Natural Language Process (NLP) resources and online dialogue corpora can be used to extend coverage of Information Extraction (IE) templates in a Spoken Di...
Roberta Catizone, Alexiei Dingli, Robert J. Gaizau...