Building natural language generation systems
Building natural language generation systems
Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Evaluating algorithms for the generation of referring expressions using a balanced corpus
ENLG '07 Proceedings of the Eleventh European Workshop on Natural Language Generation
Building a semantically transparent corpus for the generation of referring expressions
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
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We describe the evaluation work of two standard approaches to the surface realisation of definite descriptions as Portuguese text. Taking as an input a non-linguistic representation of the description to be generated, a rule-based approach makes use of grammar constraints to compute the appropriate surface string, whereas a competing probabilistic model applies n-gram statistics to the same task. The results of both systems are compared against a corpus of human-produced descriptions and their advantages are discussed.