Using Integer Linear Programming in Concept-to-Text Generation to Produce More Compact Texts
نویسندگان
چکیده
We present an ILP model of concept-totext generation. Unlike pipeline architectures, our model jointly considers the choices in content selection, lexicalization, and aggregation to avoid greedy decisions and produce more compact texts.
منابع مشابه
Using Integer Linear Programming for Content Selection, Lexicalization, and Aggregation to Produce Compact Texts from OWL Ontologies
We present an Integer Linear Programming model of content selection, lexicalization, and aggregation that we developed for a system that generates texts from OWL ontologies. Unlike pipeline architectures, our model jointly considers the available choices in these three text generation stages, to avoid greedy decisions and produce more compact texts. Experiments with two ontologies confirm that ...
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