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        <title>Generating titles for millions of browse pages on an e-Commerce site</title>
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        <namePart type="given">Prashant</namePart>
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        <namePart type="given">Nicola</namePart>
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    <name type="personal">
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    <abstract>We present two approaches to generate titles for browse pages in five different languages, namely English, German, French, Italian and Spanish. These browse pages are structured search pages in an e-commerce domain. We first present a rule-based approach to generate these browse page titles. In addition, we also present a hybrid approach which uses a phrase-based statistical machine translation engine on top of the rule-based system to assemble the best title. For the two languages English and German we have access to a large amount of already available rule-based generated and curated titles. For these languages we present an automatic post-editing approach which learns how to post-edit the rule-based titles into curated titles.</abstract>
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    <identifier type="doi">10.18653/v1/W17-3525</identifier>
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%0 Conference Proceedings
%T Generating titles for millions of browse pages on an e-Commerce site
%A Mathur, Prashant
%A Ueffing, Nicola
%A Leusch, Gregor
%Y Alonso, Jose M.
%Y Bugarín, Alberto
%Y Reiter, Ehud
%S Proceedings of the 10th International Conference on Natural Language Generation
%D 2017
%8 September
%I Association for Computational Linguistics
%C Santiago de Compostela, Spain
%F mathur-etal-2017-generating
%X We present two approaches to generate titles for browse pages in five different languages, namely English, German, French, Italian and Spanish. These browse pages are structured search pages in an e-commerce domain. We first present a rule-based approach to generate these browse page titles. In addition, we also present a hybrid approach which uses a phrase-based statistical machine translation engine on top of the rule-based system to assemble the best title. For the two languages English and German we have access to a large amount of already available rule-based generated and curated titles. For these languages we present an automatic post-editing approach which learns how to post-edit the rule-based titles into curated titles.
%R 10.18653/v1/W17-3525
%U https://aclanthology.org/W17-3525
%U https://doi.org/10.18653/v1/W17-3525
%P 158-167

Markdown (Informal)

[Generating titles for millions of browse pages on an e-Commerce site](https://aclanthology.org/W17-3525) (Mathur et al., INLG 2017)

• Generating titles for millions of browse pages on an e-Commerce site (Mathur et al., INLG 2017)

ACL

• Prashant Mathur, Nicola Ueffing, and Gregor Leusch. 2017. Generating titles for millions of browse pages on an e-Commerce site. In Proceedings of the 10th International Conference on Natural Language Generation, pages 158–167, Santiago de Compostela, Spain. Association for Computational Linguistics.