In the last few years the Internet has become a prominent vehicle for communication with the side effect that digital media also has become more relevant for criminal and terrorist activities. This necessitates the surveillance of these activities on the Internet. A simple way to monitor content is the spotting of suspicious words and phrases in texts. Yet one of the problems with simply looking for words is the ambiguity of words, whose meaning often depends on context. Information extraction aims at recovering the meaning of words and phrases from the neighboring words. We give an overview of term and relation extraction methods based on pattern matching and trainable statistical methods and report on experiments of semi-supervised training of such methods.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org