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Generating Summaries of Sets of Consumer Products: Learning from Experiments

Kuptavanich, Kittipitch; Reiter, Ehud; van Deemter, Kees and Siddharthan, Advaith (2018). Generating Summaries of Sets of Consumer Products: Learning from Experiments. In: Proceedings of the 11th International Conference on Natural Language Generation pp. 403–407.

URL: http://www.aclweb.org/anthology/W18-6548
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Abstract

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.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 Association for Computational Linguistics
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 58717
Depositing User: Advaith Siddharthan
Date Deposited: 23 Jan 2019 09:28
Last Modified: 29 Mar 2019 11:01
URI: http://oro.open.ac.uk/id/eprint/58717
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