The Trainable Information Extractor (TIE) software is an incrementally trainable system for information extraction, text classification and generally language engineering. It employs classification models for working with texts. Other modules allow to augment text with linguistic annotations (by delegating to external tools) and to resolve nesting errors and other kinds of well-formedness violations in XML-like input.
Currently available goals include:
Navigate menus (left) to learn more about how to download, install, and use the software. Visit http://www.siefkes.net/ie/ for details on the theoretical background and the used algorithms.