Kittipitch Kuptavanich


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Generating Summaries of Sets of Consumer Products: Learning from Experiments
Kittipitch Kuptavanich | Ehud Reiter | Kees Van Deemter | Advaith Siddharthan
Proceedings of the 11th International Conference on Natural Language Generation

We explored the task of creating a textual summary describing a large set of objects characterised by a small number of features using an e-commerce dataset. When a set of consumer products is large and varied, it can be difficult for a consumer to understand how the products in the set differ; consequently, it can be challenging to choose the most suitable product from the set. To assist consumers, we generated high-level summaries of product sets. Two generation algorithms are presented, discussed, and evaluated with human users. Our evaluation results suggest a positive contribution to consumers’ understanding of the domain.