Finetuning NLG Through Experiments with Human Subjects: The Case of Vague Descriptions

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Abstract

This discussion paper describes a sequence of experiments with human subjects aimed at finding out how an NLG system should choose between the different forms of a gradable adjective. This case study highlights some general questions that one faces when trying to base NLG systems on empirical evidence: one question is what task to set a subject so as to obtain the most useful information about that subject, another question has to do with differences between subjects. © Springer-Verlag 2004.

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Van Deemter, K. (2004). Finetuning NLG Through Experiments with Human Subjects: The Case of Vague Descriptions. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3123, 31–40. https://doi.org/10.1007/978-3-540-27823-8_4

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