Key word: semantic mark up, corpus-based rule development for lexical acquisition, SGML
Lothar Rostek, Melina Alexa · 1998
This paper presents a method for developing limited-context grammar rules in order to mark up text automatically, by attaching specific text segments to a small number of well-defined and application-determined semantic categories. The Text Analysis Tool with Object Encoding (TATOE) was used in order to support the iterative process of developing a set of rules as well as for construct- ing and managing the lexical resources. The work reported here is part of a real-world application scenario: the automatic semantic mark up of German news messages, as provided by a German press agency, according to the SGML-based standard News Industry Text Format (NITF) to facilitate their further exchange. The implemented export mechanism of the semantic mark up into NITF is also described in the paper. This paper presents a methodology for developing and applying a set of limited- context grammar rules for automatic semantic mark up with subsequent manual inspection and correction of the marked up texts. The success rate of the automatic mark up and the required effort for the manual correction are important factors for deciding whether the developed rules can be further used for a real-world application.