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The Value of Weights in Automatically Generated Text Structures

Proceedings of the 10th International Conference on Intelligent Text Processing and Computational Linguistics
Year of publication: 
Conference paper - peer reviewed

One question that arises if we want to evolve generation techniques
to accommodate Web ontologies is how to capture and expose the
relevant ontology content to the user. This paper presents an attempt
to answer the question about how to select the ontology statements that
are significant for the user and present those statements in a way that
helps the user to learn. Our generation approach combines bottom-up
and top-down techniques with enhanced comparison methods to tailor
descriptions about a concept described in an ontology. A preliminary
evaluation indicates that the process of computing preferable property
weights in addition to enhanced generation methods has a positive effect
on the text structure and its content. Future work aims to assign
grammar rules and lexical entries in order to produce coherent texts that
follow on from the generated text structures in several languages.


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